- IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
-
- IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
-
- IdentityFunction<X> - Class in edu.stanford.nlp.objectbank
-
An Identity function that returns its argument.
- IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
-
- identityHashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.ClassicCounter
-
- identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- identityHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns an IdentityHashMap.
- IdentityHashSet<E> - Class in edu.stanford.nlp.util
-
This class provides a IdentityHashMap
-backed
implementation of the Set
interface.
- IdentityHashSet() - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new, empty IdentityHashSet whose backing IdentityHashMap
has the default expected maximum size (21);
- IdentityHashSet(int) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new, empty IdentityHashSet whose backing IdentityHashMap
has the specified expected maximum size.
- IdentityHashSet(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
-
Construct a new IdentityHashSet with the same elements as the supplied
Collection (eliminating any duplicates, of course); the backing
IdentityHashMap will have the default expected maximum size (21).
- IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
-
- IfExpression(Expression, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
-
- ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
-
- IGNORE - Static variable in interface edu.stanford.nlp.io.Lexer
-
- ignoreCase() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
-
- ignorePunctuation - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- ignorePunctuationTokens - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- imperfectSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- improvedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Iterate until convergence.
- improvedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Does a fixed number of IIS iterations.
- INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
-
- includeC2EViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- includeFullCRFInLOP - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- includesBegin() - Method in class edu.stanford.nlp.util.Interval
-
Returns whether the start endpoint is included in the interval
- includesEnd() - Method in class edu.stanford.nlp.util.Interval
-
Returns whether the end endpoint is included in the interval
- incomingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- incomingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- incomingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- incomingEdgeIterator(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- incomingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- increasingLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Parse trees in test treebank in order of increasing length.
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- incrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count for the given key by the given value.
- incrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count for this key by 1.0.
- incrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count for the given key by the given value.
- incrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count for this key by 1.0.
- incrementCount(List<K>, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
equivalent to incrementCount(l,o,1.0).
- incrementCount(List<K>, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
same as incrementCount(List, double) but as if Object o were at the end of the list
- incrementCount(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount(l, 1.0).
- incrementCount(List<K>, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- incrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the given count to the current count for the given key.
- incrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds 1 to the count for the given key.
- incrementCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- incrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- incrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- incrementCount1D(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount1D(o, 1.0).
- incrementCount1D(K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- incrementCount2D(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount2D(first,second,1.0).
- incrementCount2D(K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount( new Object[] { first, second }, count ).
- incrementCount3D(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount3D(first,second,1.0).
- incrementCount3D(K, K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Equivalent to incrementCount( new Object[] { first, second, third }, count ).
- incrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the given count to the current counts for each of the given keys.
- incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds 1 to the counts for each of the given keys.
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
If training on a per-word basis instead of on a per-tree basis,
we will want to increment the tree count as this happens.
- incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
-
Add the argument to the value of this integer.
- inDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- indentedListPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Indented list printing of a tree.
- indentedListPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Indented list printing of a tree.
- indentedXMLPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Indented xml printing of a tree.
- indentedXMLPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Indented xml printing of a tree.
- index() - Method in class edu.stanford.nlp.ling.CoreLabel
- index() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- index() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- index - Variable in class edu.stanford.nlp.ling.MultiTokenTag
-
- Index() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- index() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Get the index for the current node.
- Index<E> - Interface in edu.stanford.nlp.util
-
A collection that maps between a vocabulary of type E and a
continuous non-negative integer index series beginning (inclusively) at 0.
- index - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
-
- IndexedExpression(Expression, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IndexedExpression
-
- indexedValues - Variable in class edu.stanford.nlp.maxent.Feature
-
This will contain the (x,y) pairs for which the feature is non-zero in
case it is sparse.
- IndexedWord - Class in edu.stanford.nlp.ling
-
This class provides a
CoreLabel
that uses its
DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation to implement
Comparable/compareTo, hashCode, and equals.
- IndexedWord() - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Default constructor; uses
CoreLabel
default constructor
- IndexedWord(Label) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Copy Constructor - relies on
CoreLabel
copy constructor
It will set the value, and if the word is not set otherwise, set
the word to the value.
- IndexedWord(CoreLabel) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Construct an IndexedWord from a CoreLabel just as for a CoreMap.
- IndexedWord(String, int, int) - Constructor for class edu.stanford.nlp.ling.IndexedWord
-
Constructor for setting docID, sentenceIndex, and
index without any other annotations.
- indexLeaves() - Method in class edu.stanford.nlp.trees.Tree
-
Assign sequential integer indices to the leaves of the tree
rooted at this Tree
, starting with 1.
- indexLeaves(boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Index the leaves, and optionally overwrite existing IndexAnnotations if they exist.
- indexLeaves(int, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Assign sequential integer indices to the leaves of the subtree
rooted at this Tree
, beginning with
startIndex
, and traversing the leaves from left
to right.
- indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- indexOf(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the integer index of the Object in the Index or -1 if the Object
is not already in the Index.
- indexOf(E, boolean) - Method in class edu.stanford.nlp.util.HashIndex
-
Deprecated.
- indexOf(E) - Method in interface edu.stanford.nlp.util.Index
-
Returns the integer index of the Object in the Index or -1 if the Object
is not already in the Index.
- indexOf(E, boolean) - Method in interface edu.stanford.nlp.util.Index
-
- indexSpans() - Method in class edu.stanford.nlp.trees.Tree
-
Index all spans (constituents) in the tree.
- indexSpans(int) - Method in class edu.stanford.nlp.trees.Tree
-
- indexSpans(MutableInteger) - Method in class edu.stanford.nlp.trees.Tree
-
Assigns span indices (BeginIndexAnnotation and EndIndexAnnotation) to all nodes in a tree.
- indices(Collection<E>) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the index of each elem in a List.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "indirect object" grammatical relation.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "indirect object" (iobj) grammatical relation.
- INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "indirect object" grammatical relation.
- inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- infinitiveSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- info - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The current track info; used to avoid trackStack.peek() calls
- init(String, Properties) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
-
- init(SeqClassifierFlags) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
-
This will be called immediately after construction.
- init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- init(SeqClassifierFlags, TokenizerFactory<IN>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- initDefaultBindings() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- initHashVals() - Method in class edu.stanford.nlp.maxent.Feature
-
Creates a HashMap with keys indices from pairs (x,y) and values the value of the function at the pair;
required for use of getVal(x,y)
- initialGain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initializeScorer() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- initializeTraining(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Start training this lexicon on the expected number of trees.
- initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Initialize the trainer with a few of the data structures it needs
to train.
- initializeTraining(double) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- initialLopScales - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initialLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initLexicon(String) - Static method in class edu.stanford.nlp.tagger.maxent.Distsim
-
- initRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
Rule table is lemmas!
- initTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initWithNERPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- initWithPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- inputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- inputStreamFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Quietly opens a File.
- insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
-
insert dtr
after position
existing
daughters in this
.
- instanceIndex - Variable in class edu.stanford.nlp.maxent.Feature
-
- IntCounter<E> - Class in edu.stanford.nlp.stats
-
A specialized kind of hash table (or map) for storing numeric counts for
objects.
- IntCounter() - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Constructs a new (empty) Counter.
- IntCounter(MapFactory<E, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Pass in a MapFactory and the map it vends will back your counter.
- IntCounter(IntCounter<E>) - Constructor for class edu.stanford.nlp.stats.IntCounter
-
Constructs a new Counter with the contents of the given Counter.
- IntDependency - Class in edu.stanford.nlp.parser.lexparser
-
Maintains a dependency between head and dependent where they are each an IntTaggedWord.
- IntDependency(IntTaggedWord, IntTaggedWord, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
-
- IntDependency(int, int, int, int, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
-
- IntegerAnnotationPattern(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.IntegerAnnotationPattern
-
- IntegerToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intermediateSegmenterModel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intermediateSegmenterOut - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intern(IntTaggedWord, IntTaggedWord, boolean, short) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
This is a custom interner that simultaneously creates and interns
an IntDependency.
- intern - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- intern(T) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Returns a unique object o' that .equals the argument o.
- intern(T) - Method in class edu.stanford.nlp.util.Interner
-
Returns a unique object o' that .equals the argument o.
- intern2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- internAll(Set<T>) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Returns a Set
such that each element in the returned set
is a unique object e' that .equals the corresponding element e in the
original set.
- internAll(Set<T>) - Method in class edu.stanford.nlp.util.Interner
-
Returns a Set
such that each element in the returned set
is a unique object e' that .equals the corresponding element e in the
original set.
- internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
-
Returns an MutableInternedPair where the Strings have been interned.
- interner - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- Interner<T> - Class in edu.stanford.nlp.util
-
For interning (canonicalizing) things.
- Interner() - Constructor for class edu.stanford.nlp.util.Interner
-
- interner - Static variable in class edu.stanford.nlp.util.Interner
-
- interp - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Interpolation between model that directly predicts aTW and model
that predicts aT and then aW given aT.
- InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
-
- intersect(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns interval that is the intersection of this and the other interval
Returns null if intersect is null
- intersection(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter that is the intersection of c1 and c2.
- intersection(Set<T>, Set<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- intersection(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the intersection of sets s1 and s2.
- IntersectMultiNodePattern(List<MultiNodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
-
- intersects(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns true if there is at least element that is in both s1 and s2.
- Interval<E extends java.lang.Comparable<E>> - Class in edu.stanford.nlp.util
-
Represents a interval of a generic type E that is comparable.
- Interval(E, E, int) - Constructor for class edu.stanford.nlp.util.Interval
-
- Interval.RelType - Enum in edu.stanford.nlp.util
-
RelType gives the basic types of relations between two intervals
- INTERVAL_OPEN_BEGIN - Static variable in class edu.stanford.nlp.util.Interval
-
Flag indicating that an interval's begin point is not inclusive
(by default, begin points are inclusive)
- INTERVAL_OPEN_END - Static variable in class edu.stanford.nlp.util.Interval
-
Flag indicating that an interval's end point is not inclusive
(by default, begin points are inclusive)
- IntervalTree<E extends java.lang.Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
-
An interval tree maintains a tree so that all intervals to the left start
before current interval and all intervals to the right start after.
- IntervalTree() - Constructor for class edu.stanford.nlp.util.IntervalTree
-
- IntervalTree.TreeNode<E extends java.lang.Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
-
- IntPair - Class in edu.stanford.nlp.util
-
- IntPair() - Constructor for class edu.stanford.nlp.util.IntPair
-
- IntPair(int, int) - Constructor for class edu.stanford.nlp.util.IntPair
-
- intPow(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- intPow(float, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- intPow(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Exponentiation like we learned in grade school:
multiply b by itself e times.
- IntQuadruple - Class in edu.stanford.nlp.util
-
- IntQuadruple() - Constructor for class edu.stanford.nlp.util.IntQuadruple
-
- IntQuadruple(int, int, int, int) - Constructor for class edu.stanford.nlp.util.IntQuadruple
-
- IntTaggedWord - Class in edu.stanford.nlp.parser.lexparser
-
Represents a WordTag (in the sense that equality is defined
on both components), where each half is represented by an
int indexed by a Index.
- IntTaggedWord(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- IntTaggedWord(String, char, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
Creates an IntTaggedWord given by the String representation
of the form <word>|<tag*gt;
- IntTaggedWord(String, String, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
Creates an IntTaggedWord given by the tagString and wordString
- IntTriple - Class in edu.stanford.nlp.util
-
- IntTriple() - Constructor for class edu.stanford.nlp.util.IntTriple
-
- IntTriple(int, int, int) - Constructor for class edu.stanford.nlp.util.IntTriple
-
- IntTuple - Class in edu.stanford.nlp.util
-
A tuple of int.
- IntTuple(int[]) - Constructor for class edu.stanford.nlp.util.IntTuple
-
- IntTuple(int) - Constructor for class edu.stanford.nlp.util.IntTuple
-
- IntUni - Class in edu.stanford.nlp.util
-
Just a single integer
- IntUni() - Constructor for class edu.stanford.nlp.util.IntUni
-
- IntUni(int) - Constructor for class edu.stanford.nlp.util.IntUni
-
- intValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- intValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- InvalidElementException(String) - Constructor for exception edu.stanford.nlp.math.ArrayMath.InvalidElementException
-
- invert(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
-
Inverts a map x->y to a map y->x assuming unique preimages.
- invertSet(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
-
Inverts a map x->y to a map y->pow(x) not assuming unique preimages.
- iobTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- IOUtils - Class in edu.stanford.nlp.io
-
Helper Class for various I/O related things.
- isAcronym(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String looks like an acronym
- isActive(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- isAllCaps(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isAlpha(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains alphabet characters
- isAlphaBalanced(IntervalTree.TreeNode<E, T>, double) - Method in class edu.stanford.nlp.util.IntervalTree
-
- isAlphanumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains alphanumeric characters
- isAmbiguous(String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
Determine if the given pronoun can have multiple senses.
- isAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Searches up to 2 levels to determine how far ancestor is from child (i.e.,
returns 1 if "ancestor" is a parent, or 2 if ancestor is a grandparent.
- isAncestor(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns whether this is equal to or an ancestor of gr in the grammatical relations hierarchy.
- isApplicable(Tree) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns true
iff the value of Tree
node t
matches the sourcePattern
for
this GrammaticalRelation
, indicating that this
GrammaticalRelation
is one that could hold between
Tree
node t
and some other node.
- isAuxiliaryVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns true iff this vertex stands in the "aux" relation to (any of)
its parent(s).
- isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- isCapitalized(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Check if a string begins with an uppercase.
- isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- isComposite - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- isConnected(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Checks if all the typeDependencies are connected
- isCopy(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- isDag() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns true if the argument is a "dangerous" double to have
around, namely one that is infinite, NaN or zero.
- IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
-
- isDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isDot(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
-
- isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- isEdge(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
only checks if there is an edge from source to dest.
- isEdge(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
only checks if there is an edge from source to dest.
- isEmpty() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
False if there are any vertices in the graph, true otherwise.
- isEmpty() - Method in interface edu.stanford.nlp.graph.Graph
-
False if there are any vertices in the graph, true otherwise.
- isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- isEmpty() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isEmpty() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns whether a Counter has no keys in it.
- isEmpty() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns true if nothing has a count.
- isEmpty() - Method in class edu.stanford.nlp.stats.IntCounter
-
- isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- isEmpty() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
-
- isEmpty() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Checks if the queue is empty.
- isEmpty() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- isEmpty() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- isEmpty() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns true
if this set contains no elements.
- isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree
-
- isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- isEnd() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- isEOF - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- isEOF() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isEol(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Say whether the String
is the end-of-line token for
this tokenizer.
- isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalBIgnoredPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- isEvalGF() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- isExtra() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- isForeign(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isFromString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
This function is used to determine whether the GrammaticalRelation in
question is one that was created to be a thin wrapper around a String
representation by valueOf(String), or whether it is a full-fledged
GrammaticalRelation created by direct invocation of the constructor.
- isIncludeNested() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- isInConditionalContext(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Check if the vertex is in a "conditional" context.
- isInteger(Number) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- isIntervalComparable(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Checks whether this interval is comparable with another interval
comes before or after
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Checks whether a word is in the lexicon.
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Checks whether a word is in the lexicon.
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- isKnown(int) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Checks whether a word is in the lexicon.
- isKnown(String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Checks whether a word is in the lexicon.
- isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Say whether this character is an annotation introducing
character.
- isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Say whether this character is an annotation introducing
character.
- isLabelAnnotationIntroducingCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Say whether this character is an annotation introducing
character.
- isLeaf() - Method in class edu.stanford.nlp.trees.Tree
-
Says whether a node is a leaf.
- isLeaveGF() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- isLeftParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
-
- isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- isLocked() - Method in class edu.stanford.nlp.util.HashIndex
-
Queries the Index for whether it's locked or not.
- isLocked() - Method in interface edu.stanford.nlp.util.Index
-
Queries the Index for whether it's locked or not.
- isLonger(PhraseTable.Phrase) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- isMatchWithResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- isNegatedVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- isNeighbor(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- isNeighbor(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- isNodeCoord() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- isNull() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- isNumber(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- isNumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains numeric characters
- isPhrasal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether this node is a phrasal node or not.
- isPopulated(int, int, MaxentTagger) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
- isPrePreTerminal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether all the children of this node are preterminals or not.
- isPreTerminal() - Method in class edu.stanford.nlp.trees.Tree
-
Return whether this node is a preterminal or not.
- isPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- isPunct(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isPunct(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a String the method uses Regex to check if the String only contains punctuation characters
- isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
tag name, and rejects everything else.
- isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isPunctuationWord(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a punctuation
word, and rejects everything else.
- isRightParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- isRoot() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSentenceFinalPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- isStart() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- isStartSymbol(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Accepts a String that is a start symbol of the treebank.
- isStartSymbol(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Accepts a String that is a start symbol of the treebank.
- isStrippable(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Determine if the given word is a verb which needs to be stripped.
- isSubList(List<T>, List<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns true iff l1 is a sublist of l (i.e., every member of l1 is in l,
and for every e1 < e2 in l1, there is an e1 < e2 occurrence in l).
- isSynthetic(String) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
- isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree
-
Says whether the current node has only one child.
- isUniformDistribution(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Check if this counter is a uniform distribution.
- IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
-
- isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Returns true if this tree is a preterminal that is a verbal auxiliary.
- isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Returns true if this tree is a preterminal that is a verbal auxiliary.
- isVeryDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns true if the argument is a "very dangerous" double to have
around, namely one that is infinite or NaN.
- isWhiteSpace(char) - Method in class edu.stanford.nlp.util.StringParsingTask
-
- ITALIC - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- IterableIterator<E> - Class in edu.stanford.nlp.util
-
This cures a pet peeve of mine: that you can't use an Iterator directly in
Java 5's foreach construct.
- IterableIterator(Iterator<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- IterableIterator(Iterable<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- IterableIterator(Stream<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
-
- Iterables - Class in edu.stanford.nlp.util
-
Utilities for helping out with Iterables as Collections is to Collection.
- Iterables() - Constructor for class edu.stanford.nlp.util.Iterables
-
- Iterables.IncrementComparator<V1,V2> - Interface in edu.stanford.nlp.util
-
A comparator used by the merge functions to determine which of two
iterators to increment by one of the merge functions.
- ITERATIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- iterativeCKY - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If true, use faster iterative deepening CKY algorithm.
- iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- iterator() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- iterator() - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Returns an Iterator over the input sources in the underlying Collection.
- iterator() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Returns sentences until the document is exhausted.
- iterator() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
This is a shorthand for keySet.iterator().
- iterator() - Method in class edu.stanford.nlp.stats.IntCounter
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- iterator() - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- iterator() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Return an Iterator over Trees in the Treebank.
- iterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Return an Iterator over Trees in the Treebank.
- iterator() - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
- iterator() - Method in class edu.stanford.nlp.trees.Tree
-
Returns an iterator over all the nodes of the tree.
- iterator() - Method in class edu.stanford.nlp.util.ArraySet
-
Returns iterator over elements of the set.
- iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- iterator() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- iterator() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns an iterator over the elements of the collection.
- iterator() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns an iterator over the elements in this set.
- iterator() - Method in class edu.stanford.nlp.util.IntervalTree
-
- iterator() - Method in class edu.stanford.nlp.util.IterableIterator
-
- iterator() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Iterate over the map using the iterator and entry inner classes.
- IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
-
An IteratorFromReaderFactory is used to convert a java.io.Reader
into an Iterator over the Objects of type T represented by the text
in the java.io.Reader.
- iterFilesRecursive(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- iterFilesRecursive(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- iterFilesRecursive(File, Pattern) - Static method in class edu.stanford.nlp.io.IOUtils
-
Iterate over all the files in the directory, recursively.
- itwInterner - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- L1Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L1Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the L1 norm of a counter.
- L1normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- l1reg - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- L2Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the l2 norm (Euclidean vector length) of a Counter.
- L2normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- L2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter.
- L2NormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter in place.
- Label - Interface in edu.stanford.nlp.ling
-
Something that implements the Label
interface can act as a
constituent, node, or word label with linguistic attributes.
- label() - Method in interface edu.stanford.nlp.ling.Labeled
-
Returns the primary label for this Object, or null if none have been set.
- label() - Method in class edu.stanford.nlp.trees.Constituent
-
access label
- label() - Method in interface edu.stanford.nlp.trees.Labeled
-
Returns the Object's label.
- label() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns the label associated with the current node, or null
if there is no label
- label() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the label associated with the current node, or null
if there is no label.
- label - Variable in class edu.stanford.nlp.trees.TreeGraphNode
-
Label for this node.
- label() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns the label associated with the current node, or null
if there is no label.
- LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
-
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Return an array of characters at which a String should be truncated to give the basic syntactic
category of a label.
- labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelAnnotationIntroducingCharacters() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return an array of characters at which a String should be
truncated to give the basic syntactic category of a label.
- labelDictionaryCutoff - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Labeled<E> - Interface in edu.stanford.nlp.ling
-
Interface for Objects that have a label, whose label is an Object.
- Labeled - Interface in edu.stanford.nlp.trees
-
Interface for Objects which have a Label
.
- LabeledConstituent - Class in edu.stanford.nlp.trees
-
A LabeledConstituent
object represents a single bracketing in
a derivation, including start and end points and Label
information, but excluding probabilistic information.
- LabeledConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create an empty LabeledConstituent
object.
- LabeledConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given
values.
- LabeledConstituent(int, int, Label) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given values.
- LabeledConstituent(int, int, String) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
-
Create a LabeledConstituent
object with given values.
- LabeledScoredTreeFactory - Class in edu.stanford.nlp.trees
-
A LabeledScoredTreeFactory
acts as a factory for creating
trees with labels and scores.
- LabeledScoredTreeFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Make a TreeFactory that produces LabeledScoredTree trees.
- LabeledScoredTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Make a TreeFactory that uses LabeledScoredTree trees, where the
labels are as specified by the user.
- LabeledScoredTreeNode - Class in edu.stanford.nlp.trees
-
A LabeledScoredTreeNode
represents a tree composed of a root
label, a score,
and an array of daughter parse trees.
- LabeledScoredTreeNode() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create an empty parse tree.
- LabeledScoredTreeNode(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create a leaf parse tree with given word.
- LabeledScoredTreeNode(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create a leaf parse tree with given word and score.
- LabeledScoredTreeNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Create parse tree with given root and array of daughter trees.
- LabeledScoredTreeReaderFactory - Class in edu.stanford.nlp.trees
-
This class implements a TreeReaderFactory
that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.
- LabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
Create a new TreeReaderFactory with CoreLabel labels.
- LabeledScoredTreeReaderFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledScoredTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledScoredTreeReaderFactory(LabelFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
- LabeledWord - Class in edu.stanford.nlp.ling
-
A LabeledWord
object contains a word and its tag.
- LabeledWord() - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(String) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(String, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
Create a new TaggedWord
.
- LabeledWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
-
- labeledYield() - Method in class edu.stanford.nlp.trees.Tree
-
- labeledYield(List<LabeledWord>) - Method in class edu.stanford.nlp.trees.Tree
-
- labelFactory() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Return a factory for this kind of label
(i.e., CategoryWordTag
).
- labelFactory() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in class edu.stanford.nlp.ling.IndexedWord
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in interface edu.stanford.nlp.ling.Label
-
Returns a factory that makes labels of the exact same type as this one.
- labelFactory() - Method in class edu.stanford.nlp.ling.LabeledWord
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- LabelFactory - Interface in edu.stanford.nlp.ling
-
A LabelFactory
object acts as a factory for creating
objects of class Label
, or some descendant class.
- labelFactory() - Method in class edu.stanford.nlp.ling.StringLabel
-
Return a factory for this kind of label
(i.e., StringLabel
).
- labelFactory() - Method in class edu.stanford.nlp.ling.TaggedWord
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Returns a factory that makes Labels of the appropriate sort.
- labelFactory() - Method in class edu.stanford.nlp.ling.Word
-
Return a factory for this kind of label (i.e., Word
).
- labelFactory() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a factory for this kind of label
(i.e., TaggedWord
).
- labelFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- labelFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
Return a factory for this kind of label.
- labelFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
Return a factory for this kind of label.
- labelFactory() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a factory that makes labels of the same type as this one.
- LabelIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelIDAnnotation
-
- labelList2Text(List<? extends HasWord>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized words.
- labels() - Method in interface edu.stanford.nlp.ling.Labeled
-
Returns the complete list of labels for this Object, which may be empty.
- labels() - Method in class edu.stanford.nlp.trees.Constituent
-
Access labels -- actually always a singleton here.
- labels() - Method in interface edu.stanford.nlp.trees.Labeled
-
Gives back all labels for this thing.
- labels() - Method in class edu.stanford.nlp.trees.Tree
-
Get the set of all node and leaf Label
s,
null or otherwise, contained in the tree.
- LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
-
- lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
These are the model parameters that have to be learned.
- lambda_converged - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Only allocated and used in the IIS optimization routines.
- lambdaCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lambdaEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LambdaSolve - Class in edu.stanford.nlp.maxent.iis
-
This is the main class that does the core computation in IIS.
- LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Reads the lambda parameters from a file.
- LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- LambdaSolveTagger - Class in edu.stanford.nlp.tagger.maxent
-
This module does the working out of lambda parameters for binary tagger
features.
- LANG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- langList - Static variable in enum edu.stanford.nlp.international.Language
-
- langpack() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
- Language - Enum in edu.stanford.nlp.international
-
Constants and parameters for multilingual NLP (primarily, parsing).
- laplaceSmoothedDistribution(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates an Laplace smoothed Distribution from the given counter, ie adds one count
to every item, including unseen ones, and divides by the total count.
- laplaceSmoothedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a smoothed Distribution using Lidstone's law, ie adds lambda (typically
between 0 and 1) to every item, including unseen ones, and divides by the total count.
- laplaceWithExplicitUnknown(Counter<E>, double, E) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a smoothed Distribution with Laplace smoothing, but assumes an explicit
count of "UNKNOWN" items.
- largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LAST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- LAST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- lastChild() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the last child of a tree, or null
if none.
- LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
-
- lastIndexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
-
- latinPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- Lazy<E> - Class in edu.stanford.nlp.util
-
An instantiation of a lazy object.
- Lazy() - Constructor for class edu.stanford.nlp.util.Lazy
-
- LazyFileIterator(File, String) - Constructor for class edu.stanford.nlp.util.Execution.LazyFileIterator
-
- LazyFileIterator(File, FilenameFilter) - Constructor for class edu.stanford.nlp.util.Execution.LazyFileIterator
-
- lazyUpdate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
-
- leafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the labels of the leaves in a Tree in the order that they're found.
- LEARN_CLOSED_CLASS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- learnCHBasedOnEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- learnENBasedOnCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- learningRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How fast to learn (can mean different things for different algorithms)
- LEAVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- leaveItAll - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
if true, leave all PTB (functional tag) annotations (bad)
- leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the leaves in a Tree in the order that they're found.
- LEFT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- LEFT_PARENTHESIS - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- leftCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the positional index of the left edge of node within the tree,
as measured by characters.
- LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
-
- leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- leftEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the left edge of a tree t
within a given root, as defined by the size of the yield of all
material preceding t.
- leftHeaded - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- LeftHeadFinder - Class in edu.stanford.nlp.trees
-
HeadFinder that always returns the leftmost daughter as head.
- LeftHeadFinder() - Constructor for class edu.stanford.nlp.trees.LeftHeadFinder
-
- leftMargin - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The length of the left margin in which to print channel information.
- leftRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Left edge is right-recursive (X << X) Bad.
- leftRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- leftSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
string-value labels of left sisters; from inside to outside (right-left)
- LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
-
- leftToRight - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
How many label positions to the left influence the label assignment
at a particular position.
- leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the lemma value of the label (or null if none).
- lemma() - Method in interface edu.stanford.nlp.ling.HasLemma
-
Return the lemma value of the label (or null if none).
- lemma() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- lemma(String, String) - Method in class edu.stanford.nlp.process.Morphology
-
- lemma(String, String, boolean) - Method in class edu.stanford.nlp.process.Morphology
-
- LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
- LEMMA_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- LEMMA_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
-
- lemmaId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
-
- lemmaStaticSynchronized(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
-
- lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology
-
Lemmatize returning a WordLemmaTag
.
- lemmatize(List<CoreLabel>, Morphology) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Adds lemmas to the given list of CoreLabels, using the given
Morphology object.
- lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
-
- len() - Method in class edu.stanford.nlp.maxent.Feature
-
- len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
-
- length - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
- length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- length() - Method in class edu.stanford.nlp.util.IntTuple
-
- LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- LENGTH_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- LENGTH_SCORER - Static variable in class edu.stanford.nlp.util.Interval
-
- LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
-
- lengthEndpointsComparator() - Static method in class edu.stanford.nlp.util.Interval
-
- lengthNormalization - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Turns on normalizing scores for sentence length.
- lengthPenalty - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Parameters for a ChineseCharacterBasedLexicon
- lengthScorer() - Static method in class edu.stanford.nlp.util.Interval
-
- lex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Returns a lexicon for Arabic.
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseLexicon
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns an ordinary Lexicon (could be tuned for German!)
- lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- lex(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Vends a
Lexicon
object suitable to the particular language/treebank combination of interest.
- LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
-
Constructs a token (of arbitrary type) from a String and its position
in the underlying text.
- Lexer - Interface in edu.stanford.nlp.io
-
- lexerProperties - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- lexerProperties - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- lexerProperties - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- LexerTokenizer - Class in edu.stanford.nlp.process
-
An implementation of
Tokenizer
designed to work with
Lexer
implementing classes.
- LexerTokenizer(Lexer) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
-
- LexerTokenizer(Lexer, Reader) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
-
- lexicalize(Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns a lexicalized Tree whose Labels are CategoryWordTag
instances, all corresponds to the input tree.
- Lexicon - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for lexicons interfacing to lexparser.
- lexOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- LexOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- lgamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- linearCombination(Counter<E>, double, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a Counter which is a weighted average of c1 and c2.
- lineCount(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- LineIterator<X> - Class in edu.stanford.nlp.objectbank
-
An Iterator that returns a line of a file at a time.
- LineIterator(Reader) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
-
- LineIterator(Reader, Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
-
- LineIterator.LineIteratorFactory<X> - Class in edu.stanford.nlp.objectbank
-
- LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- LineNumberAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
-
- linesFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a list of strings.
- linesFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a list of strings.
- linesFromFile(String, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- LinkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
-
- LINKED_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
-
- linkedHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns an LinkedHashMap.
- linkedListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
-
- LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- LIST - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "list" relation.
- LIST_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- ListExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ListExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- ListExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- ListExpression2(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ListExtractRule(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- ListExtractRule(SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
-
An interface for things that operate on a List.
- listToEvents(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- listToOriginalTextString(List<T>) - Static method in class edu.stanford.nlp.ling.Sentence
-
Returns the sentence as a string, based on the original text and spacing
prior to tokenization.
- listToOriginalTextString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
-
Returns the sentence as a string, based on the original text and spacing
prior to tokenization.
- listToString(List<T>) - Static method in class edu.stanford.nlp.ling.Sentence
-
Returns the sentence as a string with a space between words.
- listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
-
Returns the sentence as a string with a space between words.
- listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
-
As already described, but if separator is not null, then objects
such as TaggedWord
- LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
-
- load(Reader) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from a Reader.
- load(Reader, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from a Reader.
- load() - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- load(String) - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- load2DCounter(String, Class<T1>, Class<T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadBisequenceClassifierCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadBisequenceClassifierEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Bisequence CRF parameters
- loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading
-
You can use this as follows:
String s =
ReflectionLoading.loadByReflection("java.lang.String", "foo");
String s =
ReflectionLoading.loadByReflection("java.lang.String");
Note that this uses generics for convenience, but this does
nothing for compile-time error checking.
- loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadClassIndexFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadCollection(String, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- loadCollection(File, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- loadCollection(String, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Adds the items from the file to the collection.
- loadCollection(File, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Adds the items from the file to the collection.
- loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Loads a Counter from a text file.
- loadCRFSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadFeatureIndexFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadFeatureIndexFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadFromFilename(String) - Static method in class edu.stanford.nlp.util.HashIndex
-
This assumes each line is of the form (number=value) and it adds each value in order of the lines in the file.
- loadFromFileWithList(String) - Static method in class edu.stanford.nlp.util.HashIndex
-
This assumes each line is one value and creates index by adding values in the order of the lines in the file
- loadFromReader(BufferedReader) - Static method in class edu.stanford.nlp.util.HashIndex
-
This is the analogue of loadFromFilename
, and is intended to be included in a routine
that unpacks a text-serialized form of an object that incorporates an Index.
- loadIncInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounterInterface<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Loads a Counter from a text file.
- loadInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadModel(String) - Static method in class edu.stanford.nlp.tagger.common.Tagger
-
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Load trees from given directory.
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load trees from given directory.
- loadPath(String, FileFilter, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Load trees from given path specification.
- loadPath(String) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given directory and its subdirectories.
- loadPath(File) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given file or directory and its subdirectories.
- loadPath(String, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given directory.
- loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given directory.
- loadPath(String, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
-
Load a sequence of trees from given directory and its subdirectories
which match the file filter.
- loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
-
Load trees from given path specification.
- loadPCTSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- loadSegmenter(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- loadWeightsFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- localContextScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- localize(Tree) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "localizer complement" grammatical relation.
- localScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- localString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- localString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- localTree() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a new Tree that represents the local Tree at a certain node.
- localTreeAsCatList(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the syntactic category of the tree as a list of the syntactic categories of the mother and the daughters
- localTrees() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a set of one level Tree
s that ares the local trees
of the tree.
- LocationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
-
- lock() - Method in class edu.stanford.nlp.util.HashIndex
-
Locks the Index.
- lock() - Method in interface edu.stanford.nlp.util.Index
-
Locks the Index.
- log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- log(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Convenience method for log to a different base
- log(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object along with its description.
- log(Redwood.RedwoodChannels, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(Redwood.RedwoodChannels, String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Pretty log an object.
- log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Log a message.
- log(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log a message to the channels specified in this RedwoodChannels object.
- log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- logAdd(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the log of the sum of two numbers, which are
themselves input in log form.
- logAdd(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the log of the sum of two numbers, which are
themselves input in log form.
- logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
The Redwood equivalent to printf().
- logf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log a printf-style formatted message to the channels specified in this RedwoodChannels object.
- logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- logger - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- loggingMethod - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Increments the count stored in log space for this key by the given
log-transformed value.
- logIncrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Increments the count stored in log space for this key by the given
log-transformed value.
- logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- logLikelihoodNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Calculate the log-likelihood from scratch, hashing the conditional
probabilities in pcond, which we will use later.
- logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
calculate the log likelihood from scratch, hashing the conditional
probabilities in pcond which we will use for the derivative later.
- logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- logNormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Transform log space values into a probability distribution in place.
- logProbabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the natural logarithm of the object's probability
- logProbabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- LogRecordHandler - Class in edu.stanford.nlp.util.logging
-
A log message handler.
- LogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.LogRecordHandler
-
- logSum(double...) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the sum of an array of numbers, which are
themselves input in log form.
- logSum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the portion between fromIndex
, inclusive, and
toIndex
, exclusive, of an array of numbers, which are
themselves input in log form.
- logSum(double[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the portion between fromIndex
, inclusive, and
toIndex
, exclusive, of an array of numbers, which are
themselves input in log form.
- logSum(List<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logSum(List<Double>, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- logSum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the log of the sum of an array of numbers, which are
themselves input in log form.
- logSum(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns ArrayMath.logSum of the values in this counter.
- LONGEST_STRING_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- longestCommonContiguousSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the longest common contiguous substring of s and t.
- longestCommonSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the longest common substring of s and t.
- LongestStringComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
-
- longValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- longValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- lookingAt(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Say whether this regular expression can be found at the beginning of
this String.
- lookup(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookup(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Env
-
- lookupAnnotationKeyWithClassname(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- lookupExtractRuleCreator(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- lookupFunctionObject(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- lookupNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
-
Look up a shaper by a short String name.
- lossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
calculate the loss for Dom ranking
using the numbers in p.data.values to determine domination relationships in the graphs
if values[x][y]> values[x][y'] then there is an edge (x,y)->(x,y')
- LOWERCASE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- LowercaseAndAmericanizeFunction - Class in edu.stanford.nlp.process
-
- LowercaseAndAmericanizeFunction() - Constructor for class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
-
- LowercaseFunction - Class in edu.stanford.nlp.process
-
- LowercaseFunction() - Constructor for class edu.stanford.nlp.process.LowercaseFunction
-
- lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lowercaseWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether or not to lowercase word vectors
- lowerNewgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- lowestLevelCounterEntrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a set of entries, where each key is a read-only
List
of size one less than the depth of the GeneralizedCounter, and
each value is a
ClassicCounter
.
- Macros - Class in edu.stanford.nlp.trees.tregex
-
This defines how to use macros from a file in Tregex.
- MAGENTA - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
For debugging.
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
A fast, rule-based tokenizer for Modern Standard Arabic (UTF-8 encoding).
- main(String[]) - Static method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
For debugging
- main(String[]) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
A fast, rule-based tokenizer for Modern Standard French.
- main(String[]) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
A fast, rule-based tokenizer for Spanish based on AnCora.
- main(String[]) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- main(String[]) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
-
- main(String[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
For testing only.
- main(String[]) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Tests the hypergeometric distribution code, or other functions
provided in this module.
- main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
With arguments, this will print out the lambda parameters of a
bunch of .lam files (which are assumed to all be the same size).
- main(String[]) - Static method in class edu.stanford.nlp.objectbank.LineIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Provides some testing and opportunities for exploration of the
probabilities of a BaseLexicon.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
This method lets you train and test a segmenter relative to a
Treebank.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
For testing: loads a treebank and prints the trees.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.CNFTransformers
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Calculate parent annotation statistics suitable for doing
selective parent splitting in the PCFGParser inside
FactoredParser.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Calculate sister annotation statistics suitable for doing
selective sister splitting in the PCFGParser inside the
FactoredParser.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
Lets you test out the TreeAnnotatorAndBinarizer on the command line.
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Lets you test out the TreeBinarizer on the command line.
- main(String[]) - Static method in class edu.stanford.nlp.process.Americanize
-
Americanize and print the command line arguments.
- main(String[]) - Static method in class edu.stanford.nlp.process.DocumentPreprocessor
-
A simple, deterministic sentence-splitter.
- main(String[]) - Static method in class edu.stanford.nlp.process.LexerTokenizer
-
for testing only
- main(String[]) - Static method in class edu.stanford.nlp.process.Morphology
-
Run the morphological analyzer.
- main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Reads files given as arguments and print their tokens, by default as
one per line.
- main(String[]) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
Reads a file from the argument and prints its tokens one per line.
- main(String[]) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
-
Usage: java edu.stanford.nlp.process.WordShapeClassifier
[-wordShape name] string+
where name
is an argument to lookupShaper
.
- main(String[]) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- main(String[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Prints out all matches of a semgrex pattern on a file of dependencies.
- main(String[]) - Static method in class edu.stanford.nlp.stats.Distribution
-
For internal testing purposes only.
- main(String[]) - Static method in class edu.stanford.nlp.stats.GeneralizedCounter
-
for testing purposes only
- main(String[]) - Static method in class edu.stanford.nlp.stats.SimpleGoodTuring
-
Like Sampson's SGT program, reads data from STDIN and writes results to
STDOUT.
- main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.documentation.MulticoreWrapperDemo
-
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Extractors
-
Prints out the pair of Extractors
objects found in the
file that is the first and only argument.
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Command-line tagger interface.
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerGUI
-
Run the simple tagger GUI.
- main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
-
Starts this server on the specified port.
- main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Prints out the English grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Given sentences or trees, output the typed dependencies.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
For debugging.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
The main method reads (segmented, whitespace delimited) words from a file
and prints them with their English translation(s).
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
Prints out the Chinese grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
Tests generation of Chinese grammatical relations from a file.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
Mainly for testing.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
The main() method tokenizes a file in the specified Encoding
and prints it to standard output in the specified Encoding.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
-
The main function reads a list of characters and outputs the list with corresponding
radicals.
- main(String[]) - Static method in class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
Go through trees and determine their heads and print them.
- main(String[]) - Static method in class edu.stanford.nlp.trees.MemoryTreebank
-
Loads treebank grammar from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Prints a few aspects of the TreebankLanguagePack, just for debugging.
- main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreeReader
-
Loads treebank data from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.TransformingTreebank
-
Loads treebank grammar from first argument and prints it.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
This method just tests the functionality of the included transformers.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
-
Just for testing.
- main(String[]) - Static method in class edu.stanford.nlp.trees.TreePrint
-
This provides a simple main method for calling TreePrint.
- main(String[]) - Static method in class edu.stanford.nlp.trees.Trees
-
- main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Prints out all matches of a tree pattern on each tree in the path.
- main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile file-with-trees [-po matching-pattern operation] operation-file-1 operation-file-2 ...
- main(String[]) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Prints out the English grammatical relations hierarchy.
- main(String[]) - Static method in class edu.stanford.nlp.trees.WordStemmer
-
Reads, stems, and prints the trees in the file.
- main(String[]) - Static method in class edu.stanford.nlp.util.CollectionValuedMap
-
For testing only.
- main(String[]) - Static method in class edu.stanford.nlp.util.ConcatenationIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
Test method: interns its arguments and says whether they == themselves.
- main(String[]) - Static method in class edu.stanford.nlp.util.DeltaMap
-
For testing only.
- main(String[]) - Static method in class edu.stanford.nlp.util.FilteredIterator
-
- main(String[]) - Static method in class edu.stanford.nlp.util.IdentityHashSet
-
Just for testing.
- main(String[]) - Static method in class edu.stanford.nlp.util.Interner
-
Test method: interns its arguments and says whether they == themselves.
- main(String[]) - Static method in class edu.stanford.nlp.util.Iterables
-
For internal debugging purposes only.
- main(String[]) - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
-
Simple test case.
- main(String[]) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Various informal tests of Redwood functionality
- main(String[]) - Static method in class edu.stanford.nlp.util.Maps
-
- main(String[]) - Static method in class edu.stanford.nlp.util.Sets
-
- main(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Tests the string edit distance function.
- main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Tests a few methods.
- makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- makeCopy(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeCopy() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeDependency(Tree, Tree, Tree) - Method in interface edu.stanford.nlp.trees.DependencyTyper
-
Make a dependency given the Tree that is the head and the dependent,
both of which are contained within root.
- makeFromEdges(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a list of edges, attempts to create and return a rooted SemanticGraph.
- makeFromGraphs(Collection<SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a list of graphs, constructs a new graph combined from the
collection of graphs.
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
Constructs and returns a new Alignment from the given hypothesis
SemanticGraph
to the given text (passage) SemanticGraph, using
the given array of indexes.
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, boolean, Predicate<TypedDependency>, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Returns a new
SemanticGraph
constructed from a given
Tree
with given options.
- makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, boolean, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Deprecated.
- makeFromTree(Tree, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Returns a new SemanticGraph constructed from the given tree.
- makeFromTree(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Returns a new SemanticGraph constructed from the given tree.
- makeFromVertices(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Given a set of vertices, and the source graph they are drawn from, create a path composed
of the minimum paths between the vertices.
- makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns an HTML table containing the matrix of Strings passed in.
- makeLink() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- makeList(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns a new List containing the given objects.
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
Unused.
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- makePair(X, Y) - Static method in class edu.stanford.nlp.util.Pair
-
Returns a Pair constructed from X and Y.
- makePPTOintoIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Change TO inside PP to IN.
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Generally will be false, except for SemanticHeadFinder
- makesCopulaHead() - Method in interface edu.stanford.nlp.trees.CopulaHeadFinder
-
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
- makesCopulaHead() - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
- makeSoftCopy(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeSoftCopy() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- makeSoftCopy() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- makeTextTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns a text table containing the matrix of objects passed in.
- makeToken(String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructs a CoreLabel as a String with a corresponding BEGIN and END position.
- makeToken(String, String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructs a CoreLabel as a String with a corresponding BEGIN and END position,
when the original OriginalTextAnnotation is different from TextAnnotation
(Does not take substring).
- makeToken() - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken(String[], String[]) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken(CoreLabel) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
-
- makeToken() - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(String[], String[]) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(IN) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
-
- makeToken(String, int, int) - Method in interface edu.stanford.nlp.process.LexedTokenFactory
-
Constructs a token (of arbitrary type) from a String and its position
in the underlying text.
- makeToken(String, int, int) - Method in class edu.stanford.nlp.process.WordTokenFactory
-
- makeTriple(X, Y, Z) - Static method in class edu.stanford.nlp.util.Triple
-
Returns a Triple constructed from X, Y, and Z.
- MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
-
- maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- map(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Maps from one string representation to another.
- map - Variable in class edu.stanford.nlp.util.Interner
-
- MAP_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAP_VALUES_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of Label-Label dependencies, represented as
Dependency objects, for the Tree.
- mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder, String) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of Label-Label dependencies, represented as
Dependency objects, for the Tree.
- MapFactory<K,V> - Class in edu.stanford.nlp.util
-
A factory class for vending different sorts of Maps.
- MapFactory() - Constructor for class edu.stanford.nlp.util.MapFactory
-
- Mapper - Interface in edu.stanford.nlp.trees.treebank
-
Generic interface for mapping one string to another given some contextual evidence.
- Maps - Class in edu.stanford.nlp.util
-
Utilities for Maps, including inverting, composing, and support for list/set values.
- mapStringToArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes a string of the form "x1=y1,x2=y2,..." such
that each y is an integer and each x is a key.
- mapStringToMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes a string of the form "x1=y1,x2=y2,..." and returns Map.
- mapTree(Tree) - Static method in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- mark(int) - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Marks the read limit of the StringReader.
- MARK - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "marker" (mark) grammatical relation.
- markADgrandchildOfIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark ADs that are grandchild of IP.
- markCC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Mark phrases which are conjunctions.
- markCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark phrases which are conjunctions.
- markContainedVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- markDitransV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Attempt to record ditransitive verbs.
- MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "marker" grammatical relation.
- MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "marker" grammatical relation.
- markFinalStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether or not to mark final states in binarized grammar.
- markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
-
- MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
-
- markIPadjsubj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- markIPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are conjuncts.
- markIPsisDEC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are part of prenominal modifiers.
- markIPsisterBA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IPs that are sister of BA.
- markIPsisterVVorP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark IP's that are sister of VV or P.
- markModifiedNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark left-modified NPs (rightmost NPs with a left-side
mod).
- markMultiNtag - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark nominal tags that are part of multi-nominal
rewrites.
- markNPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark NPs that are conjuncts.
- markNPmodNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark NP modifiers of NPs.
- markovFactor - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether to do "horizontal Markovization" (as in ACL 2003 paper).
- markovOrder - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- markPostverbalP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark P with a left aunt VV, and PP with a left sister
VV.
- markPostverbalPP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- markPsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark P's that are sister of IP.
- markReflexivePRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark reflexive PRP words.
- markStrahler - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Horton-Strahler number/dimension (Maximilian Schlund)
- markSupported() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
- markTargetString(String, String, String, String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- markUnary - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark all unary nodes specially.
- markUnaryTags - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark POS tags which are the sole member of their phrasal constituent.
- markVPadjunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark phrases that are adjuncts of VP (these tend to be
locatives/temporals, and have a specific distribution).
- markVVsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: mark VVs that are sister of IP (communication &
small-clause-taking verbs).
- match(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- match(Integer) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.IntegerAnnotationPattern
-
- match(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- match(CoreMap, Map<Class, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
-
- match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
-
- match(Number) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
-
- match(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
-
- match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
-
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
Tries to match sequence of nodes starting of start
Returns intervals (token offsets) of when the nodes matches
- match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.UnionMultiNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
Returns true if the input node matches this pattern
- match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- MATCH_STATE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
An accepting matching state
- MatchedExpression - Class in edu.stanford.nlp.ling.tokensregex
-
Matched Expression represents a chunk of text that was matched from an original segment of text).
- MatchedExpression(MatchedExpression) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- MatchedExpression(Interval<Integer>, Interval<Integer>, MatchedExpression.SingleAnnotationExtractor, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- MatchedExpression.SingleAnnotationExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
Function that takes a CoreMap, applies a extraction function to it, to get a value
Also contains information on how to construct a final annotation.
- matchedExpressionGroup - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- MatchedGroup(BasicSequenceMatchResult.MatchedGroup) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- MatchedGroup(int, int, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- MatchedGroupInfo(String, List<? extends T>, List<Object>, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- matcher(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
-
- matcher(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- matcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
- matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- matcher(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Map<String, IndexedWord>) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Get a
SemgrexMatcher
for this pattern in this graph, with some
initial conditions on the variable assignments
- matcher(SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(SemanticGraph, Alignment, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- matcher(Tree, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- matcher() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- matches(CoreMap, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
-
- matches() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Checks if the pattern matches the entire sequence
- matches(T, T) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.NodesMatchChecker
-
- matches() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Does the pattern match the graph? It's actually closer to
java.util.regex's "lookingAt" in that the root of the graph has to match
the root of the pattern but the whole tree does not have to be "accounted
for".
- matches() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Does the pattern match the tree? It's actually closer to java.util.regex's
"lookingAt" in that the root of the tree has to match the root of the pattern
but the whole tree does not have to be "accounted for".
- matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Say whether this regular expression matches
this String.
- matchesAt(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Rests the matcher and tests if it matches in the graph when rooted at
node
.
- matchesAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Rests the matcher and tests if it matches on the tree when rooted at node
.
- matchFindType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- matchNERIncentive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- matchPatternToVertex(String, IndexedWord, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- matchPatternToVertex(String, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- matchResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- matchWithResult(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- matchWithResult(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
-
- matchWithResult(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- matchWithResult(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
Returns result associated with the match
- matchWithResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- max(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- max(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest element of the matrix
- max(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
max() that works on three integers.
- max(Collection<Integer>) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- max(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the greater of two int
values.
- max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the greater of two float
values.
- max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the greater of two double
values.
- MAX - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- max(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the maximum entry in this counter.
- max(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the maximum entry in this counter.
- max() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the largest count in this Counter.
- max(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
- MAX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MAX_ITEMS - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The maximum number of edges and hooks combined that the factored parser
will build before giving up.
- MAX_LEGAL - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- maxAdditionalKnownLCWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
If this number is strictly positive (greater than 0; 0 means unlimited),
then add at most this many words to the knownLCwords.
- maxAllowedChromaticSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- MaxentTagger - Class in edu.stanford.nlp.tagger.maxent
-
The main class for users to run, train, and test the part of speech tagger.
- MaxentTagger() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- MaxentTagger(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- MaxentTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Constructor for a tagger, loading a model stored in a particular file,
classpath resource, or URL.
- MaxentTagger(String, Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Constructor for a tagger using a model stored in a particular file,
with options taken from the supplied TaggerConfig.
- MaxentTagger(String, Properties, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Initializer that loads the tagger.
- maxentTagger - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- MaxentTaggerGUI - Class in edu.stanford.nlp.tagger.maxent
-
A very simple GUI for illustrating the POS tagger tagging text.
- MaxentTaggerGUI() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTaggerGUI
-
- MaxentTaggerServer - Class in edu.stanford.nlp.tagger.maxent
-
A POS tagger server for the Stanford POS Tagger.
- MaxentTaggerServer(int, MaxentTagger.TaggerWrapper, String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
-
Creates a new tagger server on the specified port.
- maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the maximal projection of
head
in
root
given a
HeadFinder
- maxIndex(List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- maxInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Places the maximum of first and second keys values in the first counter.
- maxIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxLeft - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The maximum sentence length (including punctuation, etc.) to parse.
- maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxQNItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxRight - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- maxSpanForTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
The largest span to consider for word-hood.
- maxTrainTimeSeconds - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- maxWaitTimeInMillis() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- maxY - Variable in class edu.stanford.nlp.maxent.Experiments
-
- mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- mean(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- mean(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the mean of all the counts (totalCount/size).
- median(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
returns a MemoryTreebank appropriate to the treebank source
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Uses a MemoryTreebank with a CHTBTokenizer and a
BobChrisTreeNormalizer
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Allows you to read in trees from the source you want.
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- memoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a MemoryTreebank appropriate to the treebank source
- MemoryTreebank - Class in edu.stanford.nlp.trees
-
A MemoryTreebank
object stores a corpus of examples with
given tree structures in memory (as a List
).
- MemoryTreebank() - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank, using a specific TreeNormalizer.
- MemoryTreebank(String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank, set the encoding for file access
- MemoryTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(List<Tree>, TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MemoryTreebank(int) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new Treebank.
- MemoryTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
-
Create a new tree bank.
- MentionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
-
- MentionTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
-
- merge(List<? extends CoreMap>, int, int) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(List<? extends CoreMap>, List<? extends HasInterval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(List<? extends CoreMap>, List<M>, Function<M, Interval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- merge(Iterable<V1>, Iterable<V2>, Iterables.IncrementComparator<V1, V2>) - Static method in class edu.stanford.nlp.util.Iterables
-
Iterates over pairs of objects from two (sorted) iterators such that
each pair a \in iter1, b \in iter2 returned has comparator.compare(a,b)==0.
- merge(Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
-
- merge(Iterable<V1>, Iterable<V2>, Iterable<V3>, Iterables.IncrementComparator<V1, V2>, Iterables.IncrementComparator<V1, V3>) - Static method in class edu.stanford.nlp.util.Iterables
-
Iterates over triples of objects from three (sorted) iterators such that
for every returned triple a (from iter1), b (from iter2), c (from iter3)
satisfies the constraint that comparator.compare(a,b) ==
comparator.compare(a,c) == 0
.
- merge(Iterable<V>, Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
-
- MergeAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- MergeAction(CoreMapAggregator) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- mergeChunks(List<CoreMap>, String, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Merge chunks from chunkIndexStart to chunkIndexEnd (exclusive) and replace them in the list
- mergeGroup() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- mergeGroup(int) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- mergeList(List<? extends T>, Collection<M>, Function<M, Interval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeList(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeListWithSortedMatched(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeListWithSortedMatchedPreAggregated(List<? extends T>, List<? extends T>, Function<T, Interval<Integer>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- mergeNNVV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: merge NN and VV.
- mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- message(int) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- MetaClass - Class in edu.stanford.nlp.util
-
A meta class using Java's reflection library.
- MetaClass(String) - Constructor for class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass producing objects of the given type
- MetaClass(Class<?>) - Constructor for class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass producing objects of the given type
- MetaClass.ClassCreationException - Exception in edu.stanford.nlp.util
-
- MetaClass.ClassFactory<T> - Class in edu.stanford.nlp.util
-
- MetaClass.ConstructorNotFoundException - Exception in edu.stanford.nlp.util
-
- MethodCallExpression(Env, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- MethodCallExpression(String, Expression, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
-
- mf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- MID_DOT_REGEX_STR - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- min(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- min(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest element of the matrix
- min(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the minimum of three int values.
- min(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the smaller of two float
values.
- min(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns the smaller of two double
values.
- MIN - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- min(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the value of the smallest entry in this counter.
- min() - Method in class edu.stanford.nlp.stats.IntCounter
-
Finds and returns the smallest count in this Counter.
- min(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
- MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- MIN_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MIN_PROBABILITY - Static variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- minimalSetup() - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- minimize(T, double, double[]) - Method in interface edu.stanford.nlp.optimization.Minimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance).
- minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
-
Attempts to find an unconstrained minimum of the objective
function
starting at initial
, accurate to
within functionTolerance
(normally implemented as
a multiplier of the range value to give range tolerance), but
running only for at most maxIterations
iterations.
- minimize(DiffFloatFunction, float, float[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- minimize(DiffFunction, double, double[], int, QNMinimizer.QNInfo) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- Minimizer<T extends Function> - Interface in edu.stanford.nlp.optimization
-
The interface for unconstrained function minimizers.
- minInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Places the minimum of first and second keys values in the first counter.
- minLineCountForTrackNameReminder - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Number of lines above which the closing brace of a track shows the name of the
track
- MISSING_PHRASAL - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- MISSING_POS - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- mixedCaseMapFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- mkT2DArray(Class<?>, int[]) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
- mkTArray(Class<?>, int) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
Makes an array based on klass, but casts it to be of type T[].
- MLEDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
-
- MLEDependencyGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- MLEDependencyGrammar(TagProjection, TreebankLangParserParams, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- MLEDependencyGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
-
Gathers statistics on tree dependencies and then passes them to an
MLEDependencyGrammar for dependency grammar construction.
- MLEDependencyGrammarExtractor(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Give the parameters for smoothing in the MLEDependencyGrammar.
- MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- MLEDependencyGrammarSmoothingParams() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Give the parameters for smoothing in the MLEDependencyGrammar.
- MOD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "modal" grammatical relation.
- ModCollinsHeadFinder - Class in edu.stanford.nlp.trees
-
Implements a variant on the HeadFinder found in Michael Collins' 1999
thesis.
- ModCollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
-
- ModCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
-
- mode(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the mode in the Collection.
- modes(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns a list of all modes in the Collection.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "modifier" grammatical relation.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "xclausal complement" (xcomp) grammatical relation.
- MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "modifier" grammatical relation.
- monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
-
- morphBoundary - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a morphological feature specification for words in this language.
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- morphFeatureSpec() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
The morphological feature specification for the language.
- morphId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- MORPHO_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
-
- MorphoFeatures - Class in edu.stanford.nlp.international.morph
-
Holds a set of morphosyntactic features for a given surface form.
- MorphoFeatures() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
-
- MorphoFeatures(MorphoFeatures) - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
-
- MorphoFeatureSpecification - Class in edu.stanford.nlp.international.morph
-
Morphological feature specification for surface forms in a given language.
- MorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- MorphoFeatureSpecification.MorphoFeatureType - Enum in edu.stanford.nlp.international.morph
-
- MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
-
- Morphology - Class in edu.stanford.nlp.process
-
Morphology computes the base form of English words, by removing just
inflections (not derivational morphology).
- Morphology() - Constructor for class edu.stanford.nlp.process.Morphology
-
- Morphology(Reader) - Constructor for class edu.stanford.nlp.process.Morphology
-
Process morphologically words from a Reader.
- Morphology(Reader, int) - Constructor for class edu.stanford.nlp.process.Morphology
-
- MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
-
- MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
-
- MOST_FREQ - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- MostFreqAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- MostFreqAggregator(Set<Object>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "multi-word expression" grammatical relation.
- MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "multi-word expression" grammatical relation.
- MultiCoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching across multiple core maps.
- MultiCoreMapNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern(NodePattern, Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
-
- MultiCoreMapNodePattern.StringSequenceAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- MulticoreWrapper<I,O> - Class in edu.stanford.nlp.util.concurrent
-
Provides convenient multicore processing for threadsafe objects.
- MulticoreWrapper(int, ThreadsafeProcessor<I, O>) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Constructor.
- MulticoreWrapper(int, ThreadsafeProcessor<I, O>, boolean) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Constructor.
- MulticoreWrapperDemo - Class in edu.stanford.nlp.tagger.maxent.documentation
-
Illustrates simple multithreading of threadsafe objects.
- MultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches potentially multiple node (i.e does match across multiple tokens)
- MultiNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- MultiNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- MultiNodePattern.IntersectMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiNodePattern.UnionMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiNodePatternExpr(MultiNodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- MultiPatternMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matcher that takes in multiple patterns
- MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, Collection<? extends SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(Collection<SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher(SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
-
- MultiPatternMatcher.BasicSequencePatternTrigger<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Simple SequencePatternTrigger that looks at each node, and identifies which
patterns may potentially match each node, and then aggregates (union)
all these patterns together.
- MultiPatternMatcher.NodePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
A function which returns a collections of patterns that may match when
given a single node from a larger sequence.
- MultiPatternMatcher.SequencePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
A function which returns a collections of patterns that may match when
a sequence of nodes.
- multiply(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- multiply(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- MULTIPLY_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- multiplyInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by b.
- multiplyInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by b.
- multiplyInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies each value in target by the given multiplier, in place.
- multiplyInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies each value in target by the count of the key in mult, in place.
- multiplyInto(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- multiThreadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadGrad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- multiThreadPerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- MultiTokenTag - Class in edu.stanford.nlp.ling
-
Represents a tag for a multi token expression
Can be used to annotate individual tokens without
having nested annotations
- MultiTokenTag(MultiTokenTag.Tag, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag
-
- MultiTokenTag.Tag - Class in edu.stanford.nlp.ling
-
- MultiWordStringMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
Finds multi word strings in a piece of text
- MultiWordStringMatcher(MultiWordStringMatcher.MatchType) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- MultiWordStringMatcher(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- MultiWordStringMatcher.LongestStringComparator - Class in edu.stanford.nlp.ling.tokensregex
-
- MultiWordStringMatcher.MatchType - Enum in edu.stanford.nlp.ling.tokensregex
-
if matchType
is EXCT
: match exact string
if matchType
is EXCTWS
: match exact string, except whitespace can match multiple whitespaces
if matchType
is LWS
: match case insensitive string, except whitespace can match multiple whitespaces
if matchType
is LNRM
: disregards punctuation, does case insensitive match
if matchType
is REGEX
: interprets string as regex already
- MutableDouble - Class in edu.stanford.nlp.util
-
A class for Double objects that you can change.
- MutableDouble() - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableDouble(double) - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableDouble(Number) - Constructor for class edu.stanford.nlp.util.MutableDouble
-
- MutableInteger - Class in edu.stanford.nlp.util
-
A class for Integer objects that you can change.
- MutableInteger() - Constructor for class edu.stanford.nlp.util.MutableInteger
-
- MutableInteger(int) - Constructor for class edu.stanford.nlp.util.MutableInteger
-
- mutex - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- MW_PHRASE_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
Tag provided to constituents which contain words from MW tokens
- MW_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
Tag provided to words which are extracted from a multi-word token
into their own independent nodes
- MWETransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Puts all multi-word expressions below a single constituent labeled "MWE".
- name - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Name of the rule
- name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- name() - Method in interface edu.stanford.nlp.trees.Dependency
-
Names the type of dependency (subject, instrument, ...).
- name() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- name() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
-
- name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- NamedDependency - Class in edu.stanford.nlp.trees
-
An individual dependency between a head and a dependent.
- NamedDependency(String, String, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
-
- NamedDependency(Label, Label, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
-
- NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
-
- NamedGroupMatchReplacement(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
-
- NamedValueFunction(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- naTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- NATLOG_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Computes n choose k in an efficient way.
- neatExit() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Close tracks when the JVM shuts down.
- NEGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NegateNodePattern(NodePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "negation modifier" grammatical relation.
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "negative modifier" (neg) grammatical relation.
- NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "negation modifier" grammatical relation.
- NegraHeadFinder - Class in edu.stanford.nlp.trees.international.negra
-
HeadFinder for the Negra Treebank.
- NegraHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
- NegraHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
- NegraLabel - Class in edu.stanford.nlp.trees.international.negra
-
- NegraLabel(String) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraLabel(String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraLabel(String, String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- NegraPennLanguagePack - Class in edu.stanford.nlp.trees.international.negra
-
Language pack for Negra and Tiger treebanks after conversion to
PTB format.
- NegraPennLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Gives a handle to the TreebankLanguagePack
- NegraPennLanguagePack(boolean) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Gives a handle to the TreebankLanguagePack
- NegraPennLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Make a new language pack with grammatical functions used based on the value of leaveGF
and marked with the character gfChar.
- NegraPennTokenizer - Class in edu.stanford.nlp.trees.international.negra
-
Produces a tokenizer for the NEGRA corpus in context-free Penn
Treebank format.
- NegraPennTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
-
- NegraPennTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parameter file for parsing the Penn Treebank format of the Negra
Treebank (German).
- NegraPennTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- NegraPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.negra
-
Tree normalizer for Negra Penn Treebank format.
- NegraPennTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- NegraPennTreeReaderFactory - Class in edu.stanford.nlp.trees.international.negra
-
A TreeReaderFactory for the Negra and Tiger treebanks in their
Penn Treebank compatible export format.
- NegraPennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- NegraPennTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- NegraPennTreeReaderFactory(int, boolean, boolean, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- negraSemanticHeadFinder() - Static method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Vends a "semantic" NegraHeadFinder---one that disprefers modal/auxiliary verbs as the heads of S or VP.
- NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
-
- ner() - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
-
Return the named entity class of the label (or null if none).
- ner() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the named entity class of the label (or null if none).
- ner() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- NER_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
-
- nerModel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- nerSkipFirstK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- nerSlowerTimes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NESTED_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- NestedFunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- newArabicTokenizer(Reader, Properties) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- newArrayList() - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayList(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newArrayMap() - Static method in class edu.stanford.nlp.util.ArrayMap
-
- newArrayMap(int) - Static method in class edu.stanford.nlp.util.ArrayMap
-
- newBinaryHeapPriorityQueue() - Static method in class edu.stanford.nlp.util.Generics
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- newConcurrentHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newConcurrentHashMap(int, float, int) - Static method in class edu.stanford.nlp.util.Generics
-
- newConstituent(int, int) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
-
Build a constituent with this start and end.
- newConstituent(int, int, Label, double) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
-
Build a constituent with this start and end.
- newConstituent(int, int) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that returns CoreLabel objects and
uses the options passed in.
- newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newCoreLabelWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newDependency(Label, Label) - Method in interface edu.stanford.nlp.trees.DependencyFactory
-
- newDependency(Label, Label, Object) - Method in interface edu.stanford.nlp.trees.DependencyFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructureFactory
-
- newHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashMap(Map<? extends K, ? extends V>) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet(int) - Static method in class edu.stanford.nlp.util.Generics
-
- newHashSet(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newIdentityHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newIdentityHashSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newIndex() - Static method in class edu.stanford.nlp.util.Generics
-
- newInstance() - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
-
Return a new threadsafe instance.
- newInterner() - Static method in class edu.stanford.nlp.util.Generics
-
- newLabel(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the "name".
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the value.
- newLabel(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Create a new CategoryWordTag label, where the label is formed from
the various String
objects passed in.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Create a new CategoryWordTag Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label with this String
as the
value
.
- newLabel(String, int) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label with this String
as the value, and
the type determined in an implementation-dependent way from the
options value.
- newLabel(Label) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Create a new Label
, where the label is formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabel(Label) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Create a new StringLabel
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWord Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new Word Label
, where the label is
formed from
the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Create a new WordLemmaTag Label
, where the label is
formed from the Label
object passed in.
- newLabel(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Make a new label with this String
as the value (word).
- newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Make a new label with this String
as a value component.
- newLabel(Label) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Create a new WordTag Label
, where the label is
formed from
the Label
object passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
-
Make a new label with this String
as the "name".
- newLabelFromString(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
-
Make a new label.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
-
Make a new label with this String
as the "name".
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
-
Create a new word, where the label is formed from
the String
passed in.
- newLeaf(String) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Create a new leaf node with the given label
- newLeaf(String) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newLeaf(String) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree leaf node, where the label is formed from
the String
passed in.
- newLeaf(Label) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree leaf node, with the given label.
- newLeaf(String) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
- newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
- NEWLINE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- newLinkedList() - Static method in class edu.stanford.nlp.util.Generics
-
- newLinkedList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newMap() - Method in class edu.stanford.nlp.util.MapFactory
-
Returns a new non-parameterized map of a particular sort.
- newMap(int) - Method in class edu.stanford.nlp.util.MapFactory
-
Returns a new non-parameterized map of a particular sort with an initial capacity.
- newPair(T1, T2) - Static method in class edu.stanford.nlp.util.Generics
-
- newPTBTokenizer(Reader) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer that returns Word tokens and which treats
carriage returns as normal whitespace.
- newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer that makes CoreLabel tokens.
- newPTBTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that uses the LexedTokenFactory and
options passed in.
- newPTBTokenizerFactory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- newSet() - Method in class edu.stanford.nlp.util.MapFactory
-
A set with the same K
parameterization of the Maps.
- newSet(Collection<K>) - Method in class edu.stanford.nlp.util.MapFactory
-
A set with the same K
parameterization, but initialized to the given collection.
- newSpanishTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
Contructs a new SpanishTokenizer that returns T objects and uses the options passed in.
- newStack() - Static method in class edu.stanford.nlp.util.Generics
-
- newStringRegexPattern(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- newSynchronizedInterner(Interner<T>) - Static method in class edu.stanford.nlp.util.Generics
-
- newSynchronizedInterner(Interner<T>, Object) - Static method in class edu.stanford.nlp.util.Generics
-
- newTestOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Separated out so subclasses of Options can override
- newTokenizerFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- newTokenizerFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- newTokenizerFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new TokenizerFactory that returns Word objects and
treats carriage returns as normal whitespace.
- newTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
Constructs a new TokenizerFactory that returns Word objects and
treats carriage returns as normal whitespace.
- newTrainOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Separated out so subclasses of Options can override
- newTreeMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
-
Create a new non-leaf tree node with the given label
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
-
- newTreeNode(String, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree non-leaf node, where the label is formed from
the String
passed in.
- newTreeNode(Label, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
-
Create a new tree non-leaf node, with the given label.
- newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
- newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
Create a new TreeReader
using the provided
Reader
.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
-
An implementation of the TreeReaderFactory
interface.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
-
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory
-
Create a new TreeReader
using the provided
Reader
.
- newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- newTreeSet() - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeSet(Comparator<? super E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newTreeSet(SortedSet<E>) - Static method in class edu.stanford.nlp.util.Generics
-
- newTriple(T1, T2, T3) - Static method in class edu.stanford.nlp.util.Generics
-
- newWeakHashMap() - Static method in class edu.stanford.nlp.util.Generics
-
- newWeakReference(T) - Static method in class edu.stanford.nlp.util.Generics
-
- newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
todo [cdm 2013]: But we should change it to a method that can return any kind of Label and return CoreLabel here
- newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Constructs a new PTBTokenizer that returns Word objects and
uses the options passed in.
- newWordWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- newWordWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
- next() - Method in class edu.stanford.nlp.objectbank.LineIterator
-
- next() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- next() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Returns the next token from this Tokenizer.
- next() - Method in class edu.stanford.nlp.process.Morphology
-
- next() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Returns the next token from this Tokenizer.
- next() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- next() - Method in class edu.stanford.nlp.util.AbstractIterator
- next() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- next() - Method in class edu.stanford.nlp.util.ConcatenationIterator
-
- next() - Method in class edu.stanford.nlp.util.Execution.LazyFileIterator
-
- next() - Method in class edu.stanford.nlp.util.FilteredIterator
-
- next() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the element in the queue with highest priority, and pops it from
the queue.
- next() - Method in class edu.stanford.nlp.util.IterableIterator
-
- NextMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
-
- nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
-
- NIL - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- NilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
-
- NO_ANALYSIS - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- NO_WORD - Static variable in class edu.stanford.nlp.ling.IndexedWord
-
The identifier that points to no word.
- Node(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- nodeAttrMatch(IndexedWord, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodeBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- NodeDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- NodeGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- nodeMatchResult(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns an Object representing the result for the match for a particular node.
- nodeNumber(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Calculates the node's number, defined as the number of nodes traversed in a left-to-right, depth-first search of the
tree starting at root
and ending at this
.
- NodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches a Node (i.e a Token).
- NodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- NodePattern - Class in edu.stanford.nlp.semgraph.semgrex
-
- NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String, List<Pair<Integer, String>>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- NodePattern.AnyNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches any node
- NodePattern.ConjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a list of patterns p1,...,pn, matches if all patterns p1,...,pn matches
- NodePattern.DisjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a list of patterns p1,...,pn, matches if one of the patterns p1,...,pn matches
- NodePattern.EqualsNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Matches a constant value of type T using equals()
- NodePattern.NegateNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Given a node pattern p, a node x matches if p does not match x
- NodePatternExpr(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- NodePatternTransformer<T1,T2> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface to transform a node pattern from a NodePattern<T1>
into a
NodePattern <T2>
.
- nodePrune - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
If true, inside the factored parser, remove any node from the final
chosen tree which improves the PCFG score.
- nodes - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- NODES_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
- nodeString() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the value of the nodes label as a String.
- noEdgeFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NoEmptiesCTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory
-
- NoEscapingSAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
-
- noFunctionalForcing - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Only valid with force tags - strips away functionals when forcing
the tags, meaning tags have to start
appropriately but the parser will assign the functional part.
- noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NOMINAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal modifier" grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "nominal passive subject" grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "nominal passive subject" (nsubjpass) grammatical relation.
- NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal passive subject" grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "nominal subject" grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "nominal subject" (nsubj) grammatical relation.
- NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nominal subject" grammatical relation.
- noNeighborConstraints - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NONFINITE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "non-finite clause" grammatical relation.
- nonLinearCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- nonUnaryRootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
Does nothing, occasionally used to make Java happy that a value is used
- noop - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
A NOOP, as the name implies.
- noRebinarization - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When binarizing trees, don't binarize trees with two children.
- noRecoveryTagging - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If false, then failure of the PCFG parser to parse a sentence
will trigger allowing all tags for words in parse recovery mode,
with a log probability of -1000.
- norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 2-norm of vector.
- norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 2-norm of vector.
- norm_1(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 1-norm of vector.
- norm_1(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes 1-norm of vector.
- norm_inf(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes inf-norm of vector.
- norm_inf(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes inf-norm of vector.
- normalizationTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalize() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
-
- NORMALIZE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- normalize - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Makes the values in this array sum to 1.0.
- normalize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalize(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Normalizes the target counter in-place, so the sum of the resulting values
equals 1.
- normalize(TwoDimensionalCounter<E, F>) - Static method in class edu.stanford.nlp.stats.Counters
-
Normalizes the target counter in-place, so the sum of the resulting values
equals 1.
- NORMALIZE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- normalize(String, int, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
This will normalize a Unicode String in various ways.
- normalize(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns a new array which has the numbers in the input array
L1-normalized.
- normalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- normalizedFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
-
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalizes a nonterminal contents.
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalizes a nonterminal contents.
- normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalizes a nonterminal contents (and maybe intern it).
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalizes a leaf contents.
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalizes a leaf contents.
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalizes a leaf contents (and maybe intern it).
- normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- normalizeTree(Tree, TreeNormalizer, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the
root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the
root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Normalize a whole tree -- one can assume that this is the root.
- normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer
-
Normalize a whole tree -- this method assumes that the argument
that it is passed is the root of a complete Tree
.
- normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- NOT_EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NOT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- noTagSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
-
- NotExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.NotExpression
-
- notFilter(Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that does the opposite of given filter (NOT).
- NotNilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
-
- NOUN_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "noun compound" (nn) grammatical relation.
- NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "noun compound modifier" grammatical relation.
- NOUN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "noun modifier" grammatical relation (abstract).
- nounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
-
- NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "noun phrase as adverbial modifier" grammatical relation.
- NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "noun phrase as adverbial modifier" grammatical relation.
- NP_V_S_INF_VERBS_REGEX - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- NPTmpAdvRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
-
- NPTmpRetainingTreeNormalizer - Class in edu.stanford.nlp.trees
-
Same TreeNormalizer as BobChrisTreeNormalizer, but optionally provides
four extras.
- NPTmpRetainingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Create a TreeNormalizer that maintains some functional annotations,
particularly those involving temporal annotation.
- NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
-
Implementation of TreeReaderFactory, mainly for convenience of
constructing by reflection.
- NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
-
Implementation of TreeReaderFactory, mainly for convenience of
constructing by reflection.
- NPTmpRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
-
- nthIndex(String, char, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the index of the nth occurrence of ch in s, or -1
if there are less than n occurrences of ch.
- NTHREADS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- NULL_ITW - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- nullable - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- nullSafeCompare(T, T) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a consistent ordering over two elements even if one of them is null
(as long as compareTo() is stable, of course).
- nullSafeNaturalComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- nullTag - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- nullWord - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
- num - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- numActiveFeatures() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- NUMBER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "compound number modifier" grammatical relation.
- NUMBER_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- numberEquivalenceDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
If this is set to true, all digit characters get mapped to '9' in a distsim
lexicon and for lookup.
- NumberRangeFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that examines a number in a filename to
determine acceptance.
- NumberRangeFileFilter(int, int, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangeFileFilter
-
Sets up a NumberRangeFileFilter by specifying the range of numbers
to accept, and whether to also traverse
folders for recursive search.
- NumberRangesFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that examines a number in a filename to
determine acceptance.
- NumberRangesFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangesFileFilter
-
Sets up a NumberRangesFileFilter by specifying the ranges of numbers
to accept, and whether to also traverse
folders for recursive search.
- NUMBERS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- NumberToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- numChildren() - Method in class edu.stanford.nlp.trees.Tree
-
Says how many children a tree node has in its local tree.
- numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numDistBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numDistBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "numeric modifier" grammatical relation.
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "number modifier" (nummod) grammatical relation.
- NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "numeric modifier" grammatical relation.
- NumericAnnotationPattern(double, CoreMapNodePattern.NumericAnnotationPattern.CmpType) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
-
- NumericComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
-
- NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
-
- NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
-
- NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
-
- NumericFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- NumericFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
-
- NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
-
- NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
-
- NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
-
- numFeatureMatches(MorphoFeatures) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numHid - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Number of hidden units in the word vectors.
- numHiddenUnits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numLopExpert - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Number of experts to be used in Logarithmic Opinion Pool (product of experts) training
default value is 1
- numOfFeatureSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numOfSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRules() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Returns the number of rules (tag rewrites as word) in the Lexicon.
- numRuns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numStartLayers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numTagBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- numTagBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- numTags() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- numToForcePrint() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
-
- numVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- numWordTokens - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- numY(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- PA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
This variable controls doing parent annotation of phrasal nodes.
- pad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pad(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Return a String of length a minimum of totalChars characters by
padding the input String str at the right end with spaces.
- pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the toString value of the given Object.
- padLeft(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the given String to the left with the given character to ensure that
it's at least totalChars long.
- padLeft(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pads the given String to the left with spaces to ensure that it's
at least totalChars long.
- padLeft(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeft(int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeft(double, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- padLeftOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim so as to produce a string of exactly a certain length.
- padOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim so as to produce a string of exactly a certain length.
- padOrTrim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Pad or trim the toString value of the given Object.
- Pair<T1,T2> - Class in edu.stanford.nlp.util
-
Pair is a Class for holding mutable pairs of objects.
- Pair() - Constructor for class edu.stanford.nlp.util.Pair
-
- Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
-
- Pair.ByFirstPairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the first object of the pair only
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.ByFirstReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the first object of the pair only in decreasing order
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.BySecondPairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the second object of the pair only
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- Pair.BySecondReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
-
Compares a Pair
to another Pair
according to the second object of the pair only in decreasing order
This function will work providing
the first element of the Pair
is comparable, otherwise will throw a
ClassCastException
- pairs - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- PairsHolder - Class in edu.stanford.nlp.tagger.maxent
-
A simple class that maintains a list of WordTag pairs which are interned
as they are added.
- PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- pairwiseAdd(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAdd(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAdd(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseDivideInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Divide the first array by the second elementwise,
and store results in place.
- pairwiseMultiply(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- pairwiseMultiply(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- pairwiseMultiply(double[], double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Puts the result in the result array.
- pairwiseMultiply(float[], float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Puts the result in the result array.
- pairwiseScaleAdd(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseScaleAddInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtract(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtract(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- pairwiseSubtractInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- ParagraphAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
-
- ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
-
- ParamInfo(String, String, Class, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- params - Variable in enum edu.stanford.nlp.international.Language
-
- ParaPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
-
- PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "parataxis" grammatical relation.
- PARATAXIS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "parataxis" grammatical relation.
- parent() - Method in interface edu.stanford.nlp.trees.HasParent
-
- parent() - Method in class edu.stanford.nlp.trees.Tree
-
Return the parent of the tree node.
- parent(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Return the parent of the tree node.
- parent - Variable in class edu.stanford.nlp.trees.TreeGraphNode
-
Parent of this node.
- parent() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Get the parent for the current node.
- ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
-
- ParentAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
-
See what parent annotation helps in treebank, based on support and
KL divergence.
- PARENTHETICAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "parenthetical modifier" (prnmod) grammatical relation (Chinese-specific).
- parentPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of pairs of a relation name and the parent
IndexedFeatureLabel to which we bear that relation.
- paRootDtr - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: parent annotate daughter of root.
- parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.Parser
-
Parses the given sentence.
- parse(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Configure Redwood (from scratch) based on a Properties file.
- parse() - Method in class edu.stanford.nlp.util.StringParsingTask
-
Parses the String
associated with this
StringParsingTask
and returns a object of type
E
.
- PARSE_AND_TAG - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- PARSE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- PARSE_TAG_BINARIZED_TREES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- parseCommandLineArguments(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
A simpler form of command line argument parsing.
- parseCommandLineArguments(String[], boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
A simpler form of command line argument parsing.
- ParseException - Exception in edu.stanford.nlp.ling.tokensregex.parser
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.semgraph.semgrex
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.trees.tregex
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
-
Constructor with message.
- ParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
This exception is thrown when parse errors are encountered.
- ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This constructor is used by the method "generateParseException"
in the generated parser.
- ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
The following constructors are for use by you for whatever
purpose you can think of.
- ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
Constructor with message.
- parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
- parseNode(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseNode(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
- Parser - Interface in edu.stanford.nlp.parser
-
The interface for parser objects.
- ParserException(Exception) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
-
- ParserException(String) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
-
- parseSequence(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseSequence(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseSequenceWithAction(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- parseSequenceWithAction(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
-
- parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- parsevalObjectify(Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Takes a Tree and a collinizer and returns a Collection of labeled
Constituent
s for PARSEVAL.
- parsevalObjectify(Tree, TreeTransformer, boolean) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Takes a Tree and a collinizer and returns a Collection of
Constituent
s for
PARSEVAL evaluation.
- PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "participial modifier" (prtmod) grammatical relation.
- partitionIntoFolds(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Split a list into numFolds (roughly) equally sized folds.
- PartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
-
- passiveAuxWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- path() - Static method in class edu.stanford.nlp.trees.international.pennchinese.CEDict
-
- pathFromRoot(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns list of tree nodes to root from t.
- pathNodeToNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Given nodes t1
and t2
which are
dominated by this node, returns a list of all the nodes on the
path from t1 to t2, inclusive, or null if none found.
- pathNodeToNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns a list of categories that is the path from Tree from to Tree
to within Tree root.
- PathToFileFunction() - Constructor for class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
-
- pattern() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- pattern() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns pattern used to create this sequence match result
- pattern() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- pattern() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- PatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- pcfgThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If this variable is true, and the sum of the inside and outside score
for a constituent is worse than the best known score for a sentence by
more than pcfgThresholdValue
, then -Inf is returned as the
outside Score by oScore()
(while otherwise the true
outside score is returned).
- pcfgThresholdValue - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- pctSegmenterLenAdjust - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pctSegmenterScaleByCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Direct computation of Pearson product-moment correlation coefficient.
- pearsonsCorrelationCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- peek(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- peek() - Method in class edu.stanford.nlp.objectbank.LineIterator
-
- peek() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
This is an optional operation, by default supported.
- peek() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Returns the next token, without removing it, from the Tokenizer, so
that the same token will be again returned on the next call to
next() or peek().
- peek() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Indicates whether or not a new result is available.
- peek() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- penaltyType - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
penaltyType should be set as follows:
0: no length penalty
1: quadratic length penalty
2: penalty for continuation chars only
TODO: make this an enum
- pennPOSToWordnetPOS(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
- pennPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
- pennPrint(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennPrint(PrintStream, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
- pennPrint() - Method in class edu.stanford.nlp.trees.Tree
-
Print the tree as done in Penn Treebank merged files.
- pennString() - Method in class edu.stanford.nlp.trees.Tree
-
Calls pennPrint()
and saves output to a String
- PennTreebankLanguagePack - Class in edu.stanford.nlp.trees
-
Specifies the treebank/language specific components needed for
parsing the English Penn Treebank.
- PennTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack
- PennTreebankTokenizer - Class in edu.stanford.nlp.trees
-
Builds a tokenizer for English PennTreebank (release 2) trees.
- PennTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreebankTokenizer
-
- PennTreeReader - Class in edu.stanford.nlp.trees
-
This class implements the TreeReader
interface to read Penn Treebank-style
files.
- PennTreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader
.
- PennTreeReader(Reader, TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader
.
- PennTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader.
- PennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
-
Read parse trees from a Reader.
- PennTreeReaderFactory - Class in edu.stanford.nlp.trees
-
- PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
-
- PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
-
- perceptronDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- percolateHeadAnnotations(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the head words of each tree and assigns
HeadWordLabelAnnotation on each node pointing to the correct
CoreLabel.
- percolateHeadIndices() - Method in class edu.stanford.nlp.trees.Tree
-
Percolates terminal indices through a dependency tree.
- percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the heads of the tree.
- percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Uses the specified
HeadFinder
to determine the heads for this node and all its descendants,
and to store references to the head word node and head tag node
in this node's
CoreLabel
and the
CoreLabel
s of all its descendants.
- perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- perVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "phrasal verb particle" grammatical relation.
- PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "phrasal verb particle" grammatical relation.
- Phrase(PhraseTable.WordList, String, String, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- phraseGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PhraseMatch(PhraseTable.Phrase, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- PHRASEMATCH_LENGTH_ENDPOINTS_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseStringCollection(PhraseTable, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- PhraseTable - Class in edu.stanford.nlp.ling.tokensregex
-
Table used to lookup multi-word phrases.
- PhraseTable() - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- PhraseTable.Phrase - Class in edu.stanford.nlp.ling.tokensregex
-
A phrase is a multiword expression
- PhraseTable.PhraseMatch - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a matched phrase
- PhraseTable.PhraseStringCollection - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.StringList - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.TokenList - Class in edu.stanford.nlp.ling.tokensregex
-
- PhraseTable.WordList - Interface in edu.stanford.nlp.ling.tokensregex
-
- PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
-
- PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
-
- PlainTextDocumentReaderAndWriter<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
-
This class provides methods for reading plain text documents and writing out
those documents once classified in several different formats.
- PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
Construct a PlainTextDocumentReaderAndWriter.
- plainTextDocumentReaderAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PlainTextDocumentReaderAndWriter.OutputStyle - Enum in edu.stanford.nlp.sequences
-
- pointwiseMutualInformation(Counter<T1>, Counter<T2>, Counter<Pair<T1, T2>>, Pair<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
- poisson(int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
- PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
-
- poll() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Returns the next available result.
- pop(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- populated(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
- POS_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
-
- POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "possession" grammatical relation between the possessum and the possessor.
- POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "possession" grammatical relation between the possessum and the possessor.
- POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "possessive" grammatical relation.
- POSSIBLE_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
-
- possiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- possibleTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- postGPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
A way for subclasses to fix any heads under special conditions.
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.CollinsHeadFinder
-
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Overwrite the postOperationFix method.
- postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Overwrite the postOperationFix method.
- postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
-
- postPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Post process the dependencies in whatever way this language
requires.
- postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- postSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- postSplitWithBaseCategory - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Whether, in post-splitting of categories, nodes are annotated with the
(grand)parent's base category or with its complete subcategorized
category.
- pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
raises each entry in array a by power c
- pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
raises each entry in array a by power c
- pow(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns an approximation to Math.pow(a,b) that is ~27x faster
with a margin of error possibly around ~10%.
- pow(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- POW_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- powerAlignProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- powerAlignProbAsAddition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- powerSet(Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the powerset (the set of all subsets) of set s.
- powInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Scales the values in this array by c.
- powInPlace(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Sets the values in this array by to their value taken to cth power.
- powInPlace(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- powNormalized(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a counter where each element corresponds to the normalized count of
the corresponding element in c raised to the given power.
- ppAttachmentEval() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a language specific object for evaluating PP attachment
- ppAttachmentEval() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a language specific object for evaluating PP attachment
- precision(Set<?>, Set<?>) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- precision() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
This evaluates any precondition for a feature being applicable based
on a certain tag.
- precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "preconjunct" grammatical relation.
- PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "preconjunct" grammatical relation.
- PREDETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "predeterminer" grammatical relation.
- PREDETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "predeterminer" grammatical relation.
- PREDICATE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "predicate" grammatical relation.
- PREDICATE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "predicate" grammatical relation.
- PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
-
- predictSplits - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Use the method reported by Berkeley for splitting and recombining
states.
- predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
-
- prepCCTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- prependEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PREPOSITION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The PREPOSITION grammatical relation is only here as a temporary
relation.
- PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional complement" grammatical relation.
- PREPOSITIONAL_LOCALIZER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "prepositional localizer modifier" grammatical relation.
- PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "prepositional object" grammatical relation.
- preTag - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Tag the sentences first, then parse given those (coarse) tags.
- preTerminals(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- preTerminalYield() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the preterminal yield (i.e., tags) of the tree.
- preTerminalYield(List<Label>) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the preterminal yield (i.e., tags) of the tree.
- preTransformer - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
A transformer to use on the training data before any other
processing step.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in interface edu.stanford.nlp.util.logging.PrettyLoggable
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
PrettyLog an object using these channels.
- prettyLog(String, Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
PrettyLog an object with a description using these channels.
- prettyLog(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- prettyLog(String, Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Pair
-
Pretty logs the current object to specific Redwood channels.
- prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Triple
-
Pretty logs the current object to specific Redwood channels.
- PrettyLoggable - Interface in edu.stanford.nlp.util.logging
-
Indicates that a class supports "pretty logging".
- PrettyLogger - Class in edu.stanford.nlp.util.logging
-
Primarily for debugging, PrettyLogger helps you dump various collection
objects in a reasonably structured way via Redwood logging.
- prettyPrint(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Pretty-prints this semantic graph to System.out
, formatted by
the supplied semantic graph formatter.
- prettyPrint() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Pretty-prints this semantic graph to System.out
, formatted by
the default semantic graph formatter.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax.
- prettyPrint(PrintStream) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax.
- prettyPrint() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Print a multi-line representation of the pattern illustrating its syntax
to System.out
.
- prettyPrint() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter to System.out
.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
- prettyPrint(PrintWriter, String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
pretty-prints the GeneralizedCounter.
- prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation
of the pattern illustrating it's syntax.
- prettyPrint(PrintStream) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation
of the pattern illustrating it's syntax.
- prettyPrint() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Print a multi-line representation of the pattern illustrating
it's syntax to System.out.
- PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
-
- PrimitiveValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.PrimitiveValue
-
- print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- print() - Method in class edu.stanford.nlp.maxent.Experiments
-
- print(PrintFile) - Method in class edu.stanford.nlp.maxent.Experiments
-
- print() - Method in class edu.stanford.nlp.maxent.Feature
-
Prints out the points where the feature is non-zero and the values
at these points.
- print(PrintStream) - Method in class edu.stanford.nlp.maxent.Feature
-
- print() - Method in class edu.stanford.nlp.maxent.Features
-
- print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Print out p(y|x) for all pairs to the standard output.
- print() - Method in class edu.stanford.nlp.maxent.Problem
-
- print(String) - Method in class edu.stanford.nlp.maxent.Problem
-
- print(Collection<TypedDependency>, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
-
USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS
Prints this set of typed dependencies to the specified
PrintWriter
.
- print(Collection<TypedDependency>, String, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
-
USED BY TREEPRINT
Prints this set of typed dependencies to the specified
PrintWriter
in the specified format.
- print() - Method in class edu.stanford.nlp.util.IntTuple
-
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Print a string to an output without the trailing newline.
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
Print a string to the console, without the trailing newline
- print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.FileHandler
-
Print a string to an output without the trailing newline.
- print(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- print(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- PRINT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- printAllBestParses - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Print out all best PCFG parses.
- printAnnotatedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnnotatedRuleCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnnotatedStateCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printAnswers(List<IN>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
-
This method prints the output of the classifier to a
PrintWriter
.
- printAnswers(List<IN>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
Print the classifications for the document to the given Writer.
- printAnswers(List<IN>, PrintWriter, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- printBinarizedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printChannels(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Print (to console) a margin with the channels of a given log message.
- printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PrintCollocationStrings(PrintWriter) - Method in class edu.stanford.nlp.trees.CollocationFinder
-
Prints the collocations found in this Tree
as strings.
- printCounterComparison(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Great for debugging.
- printCounterComparison(Counter<E>, Counter<E>, PrintStream) - Static method in class edu.stanford.nlp.stats.Counters
-
Great for debugging.
- printCounterComparison(Counter<E>, Counter<E>, PrintWriter) - Static method in class edu.stanford.nlp.stats.Counters
-
Prints one or more lines (with a newline at the end) describing the
difference between the two Counters.
- printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- printDependencies(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Print typed dependencies in either the Stanford dependency representation
or in the conllx format.
- printErrInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
- printf(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printf(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printFactoredKGood - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Printing k-best parses from PCFG, when k > 0.
- printFactorTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFeaturesUpto - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PrintFile - Class in edu.stanford.nlp.io
-
Shorthand class for opening an output file for human-readable output.
- PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
-
- PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
-
- printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
- printFirstOrderProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
- printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
-
- printLabelValue - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printLexStats() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Print some statistics about this lexicon.
- println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
-
- println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
- println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
-
Print the argument plus a NEWLINE in UTF-8, regardless of
the platform default.
- println(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- println(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- println() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
-
- printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
-
Only prints the local tree structure, does not recurse
- printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printOnlyRelation - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- printPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Printing k-best parses from PCFG, when k > 0.
- printProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printProperties(String, Properties, PrintStream) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- printProperties(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
- printRuleCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- printSent() - Method in class edu.stanford.nlp.tagger.maxent.History
-
- printStateCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- printStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printStats() - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
- printStats() - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- printStats(PrintStream) - Method in class edu.stanford.nlp.util.CacheMap
-
Print out cache stats to the specified stream.
- printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- printTable() - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Prints the current confusion in table form to a string, with contingency
- printToFile(File, String, boolean, boolean, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(File, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFileLn(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printToFileLn(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
-
Prints to a file.
- printTrainLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printTrainTree(PrintWriter, String, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- printTree(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree to the default PrintWriter.
- printTree(Tree, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree, with an empty ID.
- printTree(Tree, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the tree according to the options specified for this instance.
- printTrees(List<ScoredObject<Tree>>, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
-
Prints the trees according to the options specified for this instance.
- printTreeTransformations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Just for debugging: check that your tree transforms work correctly.
- printWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
-
If this is false, the tag and word are never printed in toString()
calls.
- printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- priorAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
-
- priority() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- priority - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- priority() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- priority - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Priority in which this rule should be applied with respect to others
- PRIORITY_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- PRIORITY_SCORE_LENGTH_ORDER_OFFSET_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- PriorityQueue<E> - Interface in edu.stanford.nlp.util
-
A Set that also represents an ordering of its elements, and responds
quickly to add()
, changePriority()
,
removeFirst()
, and getFirst()
method calls.
- priorLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- priorModelFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
A class name for a factory that vends a prior NER model that
implements both SequenceModel and SequenceListener, and which
is used in the Gibbs sampling sequence model inference.
- priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ProbabilityDistribution<E> - Interface in edu.stanford.nlp.stats
-
This is an interface for probability measures, which will allow
samples to be drawn and the probability of objects computed.
- probabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the normalized count of the given object.
- probabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Conditional probabilities.
- Problem - Class in edu.stanford.nlp.maxent
-
This is a general class for a Problem to be solved by the MaxEnt toolkit.
- Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.Problem
-
- Problem() - Constructor for class edu.stanford.nlp.maxent.Problem
-
- probTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Calculate the probability of a dependency as a real probability between
0 and 1 inclusive.
- process(List<? extends IN>) - Method in interface edu.stanford.nlp.process.ListProcessor
-
Take a List (including a Sentence) of input, and return a
List that has been processed in some way.
- process(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- process(List<? extends List<? extends HasWord>>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the Words in each Sentence in the given List with their
grammatical part-of-speech.
- process(I) - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
-
Set the input item that will be processed when a thread is allocated to
this processor.
- processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- processFile(File) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Load a collection of parse trees from the file of given name.
- processFile(File) - Method in interface edu.stanford.nlp.util.FileProcessor
-
Apply this predicate to a File
.
- processHeadWord(Label) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- processHeadWord(Label) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Allows language specific processing (e.g., stemming) of head words.
- processPath(String, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a method to the files under a given directory and
perhaps its subdirectories.
- processPath(File, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a method to the files under a given directory and
perhaps its subdirectories.
- processPath(File, FileFilter, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
-
Apply a function to the files under a given directory and
perhaps its subdirectories.
- processPattern(TregexPattern, TsurgeonPattern, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Tries to match a pattern against a tree.
- processPatternOnTrees(TregexPattern, TsurgeonPattern, Collection<Tree>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Applies {#processPattern} to a collection of trees.
- processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>>, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
- processText(String) - Method in class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
-
- processText(String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- processTreeHelper(String, String, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
- product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of c1 and c2.
- project(String) - Method in interface edu.stanford.nlp.parser.lexparser.TagProjection
-
Project more split dependency space onto less split space.
- PropertiesUtils - Class in edu.stanford.nlp.util
-
Utilities methods for standard (but woeful) Java Properties objects.
- PropertiesUtils.Property - Class in edu.stanford.nlp.util
-
- Property(String, String, String) - Constructor for class edu.stanford.nlp.util.PropertiesUtils.Property
-
- propFileToLinkedHashMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method reads in properties listed in a file in the format prop=value,
one property per line.
- propFileToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method reads in properties listed in a file in the format prop=value, one property per line.
- props - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ProtoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
-
- prune(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
- prune(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
- prunePunc - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- pruneTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- ptb2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized text.
- ptb2Text(Reader, Writer) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Writes a presentable version of the given PTB-tokenized text.
- ptb2Text(List<String>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of the given PTB-tokenized words.
- ptbToken2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns a presentable version of a given PTB token.
- PTBTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
-
A fast, rule-based tokenizer implementation, which produces Penn Treebank
style tokenization of English text.
- PTBTokenizer(Reader, LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
-
Constructs a new PTBTokenizer with a custom LexedTokenFactory.
- PTBTokenizer.PTBTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
-
This class provides a factory which will vend instances of PTBTokenizer
which wrap a provided Reader.
- ptilde() - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptilde(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
When we want a pre-given number of classes.
- ptildeX(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptildeXY(int, int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- ptildeY(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- publish(LogRecord) - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
Convert a java.util.logging call to its equivalent Redwood logging call.
- puncFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- puncTag - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- PunctEquivalenceClasser - Class in edu.stanford.nlp.parser.tools
-
Performs equivalence classing of punctuation per PTB guidelines.
- PunctEquivalenceClasser() - Constructor for class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
-
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "punctuation" grammatical relation.
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "punctuation" grammatical relation.
- PUNCTUATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "punctuation" grammatical relation.
- punctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that rejects a String that is a punctuation
tag name, and rejects everything else.
- punctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that rejects a String that is a punctuation
tag name, and accepts everything else.
- punctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation tags for this treebank/language.
- punctuationWordAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
- punctuationWordAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
- punctuationWordRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
- punctuationWordRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
- punctuationWords() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- punctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation words for this treebank/language.
- purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- push(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- pushBack(int) - Method in interface edu.stanford.nlp.io.Lexer
-
Pushes back length
character positions in the
lexer.
- pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- pushNode(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
-
- put(K, V) - Method in class edu.stanford.nlp.util.CacheMap
-
Add the entry to the map, and dump the map to a file if it's been a while
since we last did.
- put(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Replaces current Collection mapped to key with the specified Collection.
- put(I) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Allocate instance to a process and return.
- put(K, Collection<V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- put(K, V) - Method in class edu.stanford.nlp.util.DeltaMap
-
This may cost twice what it would in the original Map because we have to find
the original value for this key.
- put(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- put(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Unsupported.
- putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- putAll(Map<K1, CollectionValuedMap<K2, V>>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- putIntoValueArrayList(Map<K, List<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the ArrayList given by map.get(key), creating a new ArrayList if needed.
- putIntoValueCollection(Map<K, C>, K, V, CollectionFactory<V>) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the collection given by map.get(key).
- putIntoValueHashSet(Map<K, Set<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
-
Adds the value to the HashSet given by map.get(key), creating a new HashMap if needed.
- putSpacesAroundTargetString(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
Finds target string in text and put spaces around it so it will be matched with we match against tokens
- pw() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The PrintWriter used to print output.
- pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The PrintWriter used to print output.
- pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
The PrintWriter used to print output to OutputStream o.
- pw() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a PrintWriter used to print output.
- pw(OutputStream) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a PrintWriter used to print output to the OutputStream
o.
- px - Variable in class edu.stanford.nlp.maxent.Experiments
-
px[x] holds the number of times the history x appeared in training data
- pxy - Variable in class edu.stanford.nlp.maxent.Experiments
-
pxy[x][y]=# times (x,y) occurred in training
- py - Variable in class edu.stanford.nlp.maxent.Experiments
-
py[y] holds the number of times the outcome y appeared in training data
- pythonMod(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Returns a mod where the sign of the answer is the same as the sign of the second
argument.
- RadicalMap - Class in edu.stanford.nlp.trees.international.pennchinese
-
A way to determine the primary (or "semantic") radical of a Chinese character or get the set of
characters with a given semantic radical.
- RandomFilter() - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- RandomFilter(double) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- RandomFilter(double, Random) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
-
- randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomLopFeatureSplit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- randomSeed - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- range(int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Generate a range of integers from start (inclusive) to end (exclusive).
- RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "range" grammatical relation (Chinese only).
- RARE_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- RARE_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- read() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Reads from the Reader
, returning the same value.
- read(byte[], int, int) - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Reads from the Reader
into a byte array
- read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- read() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- read_lambdas(DataInputStream) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Read the lambdas from the stream.
- readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readCEDict(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- readCEDict(String, String, String, String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- readColumnSet(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read column as set
- readConfig(DataInputStream) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Read in a TaggerConfig.
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- readCoNLLXGrammaticalStructureCollection(String, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Read in a file containing a CoNLL-X dependency treebank and return a
corresponding list of GrammaticalStructures.
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- readCSVStrictly(char[], int) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read a CSV file character by character.
- readCSVStrictly(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readCSVWithHeader(String, char, char) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read in a CSV formatted file with a header row.
- readCSVWithHeader(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
Default is to throw exception.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Populates data in this Lexicon from the character stream given by the
Reader r.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Read from text grammar.
- readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Read the lexicon from the BufferedReader in the format written by
writeData.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Populates data in this DependencyGrammar from the character stream
given by the Reader r.
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Populates data in this Options from the character stream.
- ReadDataTagged - Class in edu.stanford.nlp.tagger.maxent
-
Reads tagged data from a file and creates a dictionary.
- ReadDataTagged(TaggerConfig, MaxentTagger, PairsHolder) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
-
- readDependencies(String) - Method in interface edu.stanford.nlp.trees.DependencyReader
-
- readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- readDot() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- reader() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- readerFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a File.
- readerFromFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a File.
- readerFromStdin() - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader on stdin.
- readerFromStdin(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader on stdin.
- readerFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a file, class path entry or URL specified by a String name.
- readerFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Open a BufferedReader to a file or URL specified by a String name.
- ReaderInputStream - Class in edu.stanford.nlp.io
-
Adapts a Reader
as an InputStream
.
- ReaderInputStream(Reader) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
-
Construct a ReaderInputStream
for the specified Reader
.
- ReaderInputStream(Reader, String) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
-
Construct a ReaderInputStream
for the specified Reader
,
with the specified encoding.
- ReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
-
A ReaderIteratorFactory provides a means of getting an Iterator
which returns java.util.Readers over a Collection of input
sources.
- ReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Constructs a ReaderIteratorFactory from the input sources
contained in the Collection.
- ReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- ReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Convenience constructor to construct a ReaderIteratorFactory from a single
input source.
- ReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- ReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- readGrammaticalStructureFromFile(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a function which reads the given filename and turns its
content in a list of GrammaticalStructures.
- readJavaIdentifier() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readL(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Read the lambdas from the file.
- readLeftParen() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readLines(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File, Class<? extends InputStream>) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file.
- readLines(File, Class<? extends InputStream>, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns an Iterable of the lines in the file, wrapping the generated
FileInputStream with an instance of the supplied class.
- readMacros(String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMacros(String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMacros(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- readMap(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readModelAndInit(Properties, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This reads the complete tagger from a single model stored in a file, at a URL,
or as a resource in a jar file, and inits the tagger using a
combination of the properties passed in and parameters from the file.
- readModelAndInit(Properties, DataInputStream, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This reads the complete tagger from a single model file, and inits
the tagger using a combination of the properties passed in and
parameters from the file.
- readName() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromColumns(Class, String, String[], String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readObjectFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readObjectFromFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file without throwing exceptions.
- readObjectFromObjectStream(ObjectInputStream) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readObjectFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Read an object from a stored file.
- readPhrases(String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases from a file (assumed to be tab delimited)
- readPhrases(String, boolean, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases from a file.
- readPhrases(String, boolean, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrases(String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrasesWithTagScores(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Read in phrases where there is each pattern has a score of being associated with a certain tag.
- readPhrasesWithTagScores(String, String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readPhrasesWithTagScores(String, Pattern, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- readResolve() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
When deserializing a GrammaticalRelation, it needs to be matched
up with the existing singleton relation of the same type.
- readRightParen() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- readStdin - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair
-
Read a string representation of a Pair from a DataStream.
- readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Reads all text of the XML tag and returns it as a String.
- readTree() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
-
Reads a single tree.
- readTree() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- readTree() - Method in class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
-
- readTree() - Method in class edu.stanford.nlp.trees.PennTreeReader
-
Reads a single tree in standard Penn Treebank format from the
input stream.
- readTree() - Method in interface edu.stanford.nlp.trees.TreeReader
-
Reads a single tree.
- readTree(String, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
Simple tree reading utility method.
- readTree(String) - Static method in class edu.stanford.nlp.trees.Trees
-
Simple tree reading utility method.
- readUntilTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Reads all text up to next XML tag and returns it as a String.
- readWhiteSpace() - Method in class edu.stanford.nlp.util.StringParsingTask
-
- realSysErr - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
The real System.err stream
- realSysOut - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
The real System.out stream
- recall() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- recomputeTotal() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- Record(boolean, Function, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- Record(boolean, Function, double, PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- Record(boolean, Function, double, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- Record(Object, Object[], int, long) - Constructor for class edu.stanford.nlp.util.logging.Redwood.Record
-
Create a new Record, based on the content of the log, the channels, and
the depth
- RecordHandlerTree() - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- RecordHandlerTree(LogRecordHandler) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- recordScore(KBestViterbiParser, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- recurse(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
p is parent
- RED - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- RedirectOutputHandler<LoggerClass,ChannelEquivalent> - Class in edu.stanford.nlp.util.logging
-
A class to redirect the output of Redwood to another logging mechanism,
e.g., java.util.logging.
- RedirectOutputHandler(LoggerClass, Method) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
Create a redirect handler, with a logging class, ignoring logging
levels.
- RedirectOutputHandler(LoggerClass, Method, Map<Object, ChannelEquivalent>, ChannelEquivalent) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
-
Create a redirect handler, with a logging class, redirecting both the logging
message, and the channel that it came from
- Redwood - Class in edu.stanford.nlp.util.logging
-
A hierarchical channel based logger.
- Redwood.ConsoleHandler - Class in edu.stanford.nlp.util.logging
-
Default output handler which actually prints things to the real System.out
- Redwood.FileHandler - Class in edu.stanford.nlp.util.logging
-
Handler which prints to a specified file
TODO: make constructors for other ways of describing files (File, for example!)
- Redwood.Flag - Enum in edu.stanford.nlp.util.logging
-
Standard channels; enum for the sake of efficiency
- Redwood.Record - Class in edu.stanford.nlp.util.logging
-
A log record, which encapsulates the information needed
to eventually display the enclosed message.
- Redwood.RecordHandlerTree - Class in edu.stanford.nlp.util.logging
-
A tree structure of record handlers
- Redwood.RedwoodChannels - Class in edu.stanford.nlp.util.logging
-
Represents a collection of channels.
- Redwood.Util - Class in edu.stanford.nlp.util.logging
-
A utility class for Redwood intended for static import
(import static edu.stanford.nlp.util.logging.Redwood.Util.*;),
providing a wrapper for Redwood functions and adding utility shortcuts
- RedwoodChannels(Object...) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- RedwoodConfiguration - Class in edu.stanford.nlp.util.logging
-
A class which encapsulates configuration settings for Redwood.
- RedwoodConfiguration() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Private constructor to prevent use of "new RedwoodConfiguration()"
- RedwoodConfiguration.Handlers - Class in edu.stanford.nlp.util.logging
-
- RedwoodConfiguration.Thunk - Interface in edu.stanford.nlp.util.logging
-
- RedwoodHandler() - Constructor for class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
- RedwoodPrintStream - Class in edu.stanford.nlp.util.logging
-
A PrintStream that writes to Redwood logs.
- RedwoodPrintStream(Redwood.Flag, PrintStream) - Constructor for class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "referent" grammatical relation.
- REFERENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "referent" grammatical relation.
- ReflectionLoading - Class in edu.stanford.nlp.util
-
The goal of this class is to make it easier to load stuff by
reflection.
- ReflectionLoading.ReflectionLoadingException - Exception in edu.stanford.nlp.util
-
This class encapsulates all of the exceptions that can be thrown
when loading something by reflection.
- ReflectionLoadingException(String, Throwable) - Constructor for exception edu.stanford.nlp.util.ReflectionLoading.ReflectionLoadingException
-
- regCost - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- regDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- regDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- regentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
-
- regexesToPatterns(Iterable<String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
- regexGroups(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Given a pattern and a string, returns a list with the values of the
captured groups in the pattern.
- RegexMatchResultVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- RegexMatchResultVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- RegexMatchVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- RegexMatchVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- RegexStringFilter - Class in edu.stanford.nlp.util
-
Filters Strings based on whether they match a given regex.
- RegexStringFilter(String) - Constructor for class edu.stanford.nlp.util.RegexStringFilter
-
- RegexValue(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexValue
-
- region(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Set region to search in
- regionEnd() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- regionStart() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- regularizeSoftmaxTieParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ReInit(InputStream) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(InputStream, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- ReInit(TokenSequenceParserTokenManager) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Reinitialise.
- rejectFilter() - Static method in class edu.stanford.nlp.util.Filters
-
The rejectFilter accepts nothing.
- REL_FLAGS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_EE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval ends after the second ends
- REL_FLAGS_EE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval ends before the second ends
- REL_FLAGS_EE_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
Both intervals have the same end point
- REL_FLAGS_EE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_EE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the end points of the
two intervals is unknown (used for fuzzy intervals)
- REL_FLAGS_ES_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is after
the start point of the second interval
(the two intervals overlap)
- REL_FLAGS_ES_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is before
the start point of the second interval
(the first interval is before the second)
- REL_FLAGS_ES_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The end point of the first interval is the same
as the start point of the second interval
(the first interval is before the second)
- REL_FLAGS_ES_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_ES_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the end point of the first
interval and the start point of the second interval
is unknown (used for fuzzy intervals)
- REL_FLAGS_INTERVAL_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is entirely after the second interval
(the start of the first interval happens after the end of the second)
- REL_FLAGS_INTERVAL_ALMOST_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_ALMOST_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_ALMOST_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is entirely before the second interval
(the end of the first interval happens before the start of the second)
- REL_FLAGS_INTERVAL_CONTAIN - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval contains the second interval.
- REL_FLAGS_INTERVAL_FUZZY - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_INTERVAL_INSIDE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval is inside the second interval.
- REL_FLAGS_INTERVAL_OVERLAP - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval overlaps with the second interval.
- REL_FLAGS_INTERVAL_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The intervals are the same (have the same start and end points).
- REL_FLAGS_INTERVAL_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
It is uncertain what the relationship between the
two intervals are...
- REL_FLAGS_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is after
the end point of the second interval
(the second interval is before the first)
- REL_FLAGS_SE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is before
the end point of the second interval
(the two intervals overlap)
- REL_FLAGS_SE_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
The start point of the first interval is the same
as the end point of the second interval
(the second interval is before the first)
- REL_FLAGS_SE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the start point of the first
interval and the end point of the second interval
is unknown (used for fuzzy intervals)
- REL_FLAGS_SS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval starts after the second starts
- REL_FLAGS_SS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
-
The first interval starts before the second starts
- REL_FLAGS_SS_SAME - Static variable in class edu.stanford.nlp.util.Interval
-
Both intervals have the same start point
- REL_FLAGS_SS_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
-
- REL_FLAGS_SS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
The relationship between the start points of the
two intervals is unknown (used for fuzzy intervals)
- REL_FLAGS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
-
- RELATION_EXTRACTOR_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The RELATIVE grammatical relation is only here as a temporary
relation.
- RELATIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The RELATIVE grammatical relation is only here as a temporary
relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "relative clause modifier" grammatical relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "relative clause modifier" (relcl) grammatical relation.
- RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "relative clause modifier" grammatical relation.
- RELATIVIZING_WORD_PATTERN - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- RELATIVIZING_WORD_REGEX - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- RelaxedString() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- RelaxedStringNoIdentifier() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- RelaxedStringToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- relaxPriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Promotes a key in the queue, adding it if it wasn't there already.
- relaxPriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported in this implementation.
- relaxPriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Increases the priority of the E key to the new priority if the old priority
was lower than the new priority.
- release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- reln(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the relation that node a has with node b.
- reln() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- relns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of relations which this node has with its parents.
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- remove(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- remove(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- remove(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes an Object from the underlying Collection of input sources.
- remove() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
This is an optional operation, by default not supported.
- remove() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Removes from the underlying collection the last element returned by
the iterator.
- remove(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes the given key and its associated value from this Counter.
- remove(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Removes the given key and its associated value from this Counter.
- remove(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes the given key from this Counter.
- remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- remove(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- remove(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- remove() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- remove(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- remove(Object) - Method in class edu.stanford.nlp.trees.Treebank
-
This operation isn't supported for a Treebank.
- remove() - Method in class edu.stanford.nlp.util.AbstractIterator
-
Throws an UnsupportedOperationException
.
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Removes the given key from the map, returning the value removed.
- remove(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- remove() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- remove(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- remove(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Removes the mapping associated with this key from this Map.
- remove() - Method in class edu.stanford.nlp.util.ConcatenationIterator
-
- remove(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- remove(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
- remove() - Method in class edu.stanford.nlp.util.Execution.LazyFileIterator
-
- remove() - Method in class edu.stanford.nlp.util.FilteredIterator
-
- remove() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported -- next() already removes the head of the queue.
- remove(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Removes the specified element from this set if it is present.
- remove(Object) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- remove() - Method in class edu.stanford.nlp.util.IterableIterator
-
- remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- remove(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Removes all of the data associated with the first key in the map
- remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Removes the given key from the map, returning the value removed.
- REMOVE_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- REMOVE_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes all Objects in Collection c from the underlying Collection of
input sources.
- removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes all the given keys from this Counter.
- removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all the given keys from this Counter.
- removeAll(Collection<K>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
removes the mappings associated with the keys from this map
- removeAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- removeAt(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
- removeAt(Object[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
- removeBackgroundSingletonFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeChild(int) - Method in class edu.stanford.nlp.trees.Tree
-
Destructively removes the child at some daughter index and returns it.
- removeChild(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Removes the ith child from the TreeGraphNode.
- removeChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- removeDependencyRoots(List<Tree>) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- removeEdge(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeEdge(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- removeEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeEldestEntry(Map.Entry<K, V>) - Method in class edu.stanford.nlp.util.CacheMap
-
- removeFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Disable a feature.
- removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Finds the E with the highest priority, removes it,
and returns it.
- removeFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the highest-priority element and removes it from the queue.
- removeFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Finds the object with the highest priority, removes it,
and returns it.
- RemoveGFSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- removeKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys in the given collection
- removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys (first key set) in the given collection
- removeKeys(Map<K, V>, Collection<K>) - Static method in class edu.stanford.nlp.util.Maps
-
Removes keys from the map
- removeLast() - Method in class edu.stanford.nlp.maxent.Features
-
- removeLast() - Method in class edu.stanford.nlp.maxent.Problem
-
- removeLastEntry() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Remove the last element of the heap (last in the index array).
- removeMapping(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Removes the value from the Collection mapped to by this key, leaving the
rest of the collection intact.
- removeMapping(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- removeNested(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeNullValues(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeObject(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Removes the first occurrence in the list of the specified object, using
object identity (==) not equality as the criterion for object presence.
- removeOverlapping(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- removeStrictGoodCoNLLDuplicates - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- removeVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
remove a vertex (and its edges) from the graph.
- removeVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
remove a vertex (and its edges) from the graph.
- removeVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- removeVertices(Collection<V>) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- removeVertices(Collection<V>) - Method in interface edu.stanford.nlp.graph.Graph
-
- removeXOverX(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all keys whose count is 0.
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- removeZeroDegreeNodes() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Deletes nodes with zero incoming and zero outgoing edges
- removeZeroDegreeNodes() - Method in interface edu.stanford.nlp.graph.Graph
-
Deletes nodes with zero incoming and zero outgoing edges
- renameToBackupName(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
- repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- repeat(char, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- RepeatedRecordHandler - Class in edu.stanford.nlp.util.logging
-
Filters repeated messages and replaces them with the number of times they were logged.
- RepeatedRecordHandler(RepeatedRecordHandler.RepeatSemantics) - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Create a new repeated log message handler, using the given semantics for what
constitutes a repeated record.
- RepeatedRecordHandler.ApproximateRepeatSemantics - Class in edu.stanford.nlp.util.logging
-
Judges two records to be equal if they come from the same place,
and begin with the same string, modulo numbers
- RepeatedRecordHandler.ExactRepeatSemantics - Class in edu.stanford.nlp.util.logging
-
Judges two records to be equal if they are from the same place,
and have the same message
- RepeatedRecordHandler.RepeatSemantics - Interface in edu.stanford.nlp.util.logging
-
Determines the semantics of what constitutes a repeated record
- RepeatPatternExpr(SequencePattern.PatternExpr, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- RepeatPatternExpr(SequencePattern.PatternExpr, int, int, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- replaceAll(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces all occurrences of the pattern with the specified list.
- replaceAllExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces all occurrences of the pattern with the specified list
of replacement items (can include matched groups).
- replaceAscii(String) - Static method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
-
- replaceFirst(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces the first occurrence of the pattern with the specified list.
- replaceFirstExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Replaces the first occurrence of the pattern with the specified list
of replacement items (can include matched groups).
- replaceMerged(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- replaceMergedUsingTokenOffsets(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- replaceNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
replaces all instances (by ==) of node with node1.
- report() - Method in class edu.stanford.nlp.util.Timing
-
Return elapsed time (without stopping timer).
- report(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time (without stopping timer).
- report(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
(without stopping timer).
- report(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time (without stopping timer).
- reportNano() - Method in class edu.stanford.nlp.util.Timing
-
Return elapsed time (without stopping timer).
- Requirement(String) - Constructor for class edu.stanford.nlp.pipeline.Annotator.Requirement
-
- requirementsSatisfied() - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Returns a set of requirements for which tasks this annotator can
provide.
- requires() - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Returns the set of tasks which this annotator requires in order
to perform.
- rerankerKBest - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
If the parser has a reranker, it looks at this many trees when
building the reranked list.
- reroute(Object, Object) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Rename a channel to be something else
- RerouteChannel - Class in edu.stanford.nlp.util.logging
-
- RerouteChannel(Object, Object) - Constructor for class edu.stanford.nlp.util.logging.RerouteChannel
-
- reservedWords - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- reset() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Resets the StringReader.
- reset() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Clears matcher
- Clears matched groups, reset region to be entire sequence
- reset() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Resets the matcher so that its search starts over.
- reset() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Resets the matcher so that its search starts over.
- reset() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- resetRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
This method should not be used if possible.
- resolveVars(String, Map) - Static method in class edu.stanford.nlp.util.StringUtils
-
Resolve variable.
- restart() - Method in class edu.stanford.nlp.util.Timing
-
Restart timer.
- restart(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart timer.
- restart(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and restart timer.
- restart(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart timer.
- restore(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
- restoreSystemStreams() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Restores System.out and System.err to their original values
- restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- restrictLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- restrictTransitionsTimit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- resultAnnotationExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field(s) to put new annotation
- RESULTATIVE_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "resultative complement" grammatical relation.
- resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field for child/nested annotations
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- retainAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts below the given threshold, returning the
set of removed entries.
- retainAbove(TwoDimensionalCounter<E1, E2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts below the given threshold, returning the
set of removed entries.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Removes all Objects from the underlying Collection of input sources
except those in Collection c
- retainAll(Collection<E>, Predicate<? super E>) - Static method in class edu.stanford.nlp.util.Filters
-
Removes all elems in the given Collection that aren't accepted by the given Filter.
- retainAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- retainAll(Set<K1>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- retainBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with counts above the given threshold, returning the
set of removed entries.
- retainBottom(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the bottom num
.
- retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- retainKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys that does not match the given set of keys.
- retainKeys(Counter<E>, Function<E, Boolean>) - Static method in class edu.stanford.nlp.stats.Counters
-
- retainMatchingKeys(Counter<String>, List<Pattern>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with keys that does not match one of the given patterns.
- retainNonZeros(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries with 0 count in the counter, returning the set of
removed entries.
- retainTop(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the top num
.
- retainTopKeyComparable(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Removes all entries from c except for the top num
.
- retainTopMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Retains the minimal set of top keys such that their count sum is more than thresholdCount.
- reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- reverse(Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the reverse of the
given Comparator
.
- reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Produces a new ConditionalCounter.
- reverseIndexOrder(TwoDimensionalIntCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Produces a new ConditionalCounter.
- reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- revert(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
-
- RIGHT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- RIGHT_PARENTHESIS - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- rightCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the positional index of the right edge of node within the tree,
as measured by characters.
- rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- rightEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns the positional index of the right edge of a tree
t within a given root, as defined by the size of the yield
of all material preceding t plus all the material
contained in t.
- rightPhrasal - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Right edge has a phrasal node.
- rightRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Right edge is right-recursive (X << X) Bad.
- rightRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- rightSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
string-value labels of right sisters; from inside to outside (left-right)
- rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
How many label positions to the right influence the label assignment
at a particular position.
- rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
-
- ROOT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
-
The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
- root - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
The root Tree node for this GrammaticalStructure.
- root() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Return the root Tree of this GrammaticalStructure.
- rootHandler() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
- rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
-
- rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- rootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- rootTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- rotateUp(IntervalTree.TreeNode<E, T>, IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- round(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Round a double to the nearest integer, via conventional rules
(.5 rounds up, .49 rounds down), and return the result, still as a double.
- round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Round a double to the given number of decimal places,
rounding to the nearest value via conventional rules (5 rounds up, 49
rounds down).
- Rule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ruleDiscount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Discounts the count of BinaryRule's (only, apparently) in training data.
- RuleErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- ruleIteratorByWord(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Returns the possible POS taggings for a word.
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Generate the possible taggings for a word at a sentence position.
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
Rule table is lemmas.
- ruleIteratorByWord(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Get an iterator over all rules (pairs of (word, POS)) for this word.
- ruleIteratorByWord(String, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Same thing, but with a string that needs to be translated by the
lexicon's word index
- RuleList(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ruleSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Enables linear rule smoothing during grammar extraction
but before grammar compaction.
- ruleSmoothingAlpha - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- rulesWithWord - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
An array of Lists of rules (IntTaggedWord), indexed by word.
- ruleType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Type of rule to apply: token string match, pattern string match
- run() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTaggerServer
-
Runs this tagger server.
- run() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
-
- run() - Method in class edu.stanford.nlp.util.StreamGobbler
-
- runningAverages - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- runTagger(Iterable<List<X>>, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- runTagger(BufferedReader, BufferedWriter, String, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
This method runs the tagger on the provided reader and writer.
- runTaggerSGML(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- runTaggerStdin(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- RuntimeInterruptedException - Exception in edu.stanford.nlp.util
-
An unchecked version of InterruptedException
.
- RuntimeInterruptedException() - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
-
- RuntimeInterruptedException(InterruptedException) - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
-
- RuntimeIOException - Exception in edu.stanford.nlp.io
-
An unchecked version of IOException
.
- RuntimeIOException() - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception.
- RuntimeIOException(String) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with a message.
- RuntimeIOException(Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with an embedded cause.
- RuntimeIOException(String, Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
-
Creates a new exception with a message and an embedded cause.
- s - Variable in class edu.stanford.nlp.util.StringParsingTask
-
- safeCompile(String, boolean) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
- safeMax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the largest value in a vector of doubles.
- safeMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the mean of a vector of doubles.
- safeMin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the smallest value in a vector of doubles.
- saferL2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
-
For counters with large # of entries, this scales down each entry in the
sum, to prevent an extremely large sum from building up and overwhelming
the max double.
- saferL2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
-
L2 normalize a counter, using the "safer" L2 normalizer.
- safeStdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the standard deviation of a vector of doubles.
- sample - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Used when you want to generate sample parses instead of finding the best
parse.
- sample(Counter<T>, Random) - Static method in class edu.stanford.nlp.stats.Counters
-
Does not assumes c is normalized.
- sample(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
Does not assumes c is normalized.
- sample(List<E>, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- sample(Iterable<T>, int, int, Random) - Static method in class edu.stanford.nlp.util.Iterables
-
Sample k items uniformly from an Iterable of size n (without replacement).
- sampleFrom(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Samples from the distribution over words with this POS according to the lexicon.
- sampleFrom() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Samples over words regardless of POS: first samples POS, then samples
word according to that POS
- sampleFrom() - Method in class edu.stanford.nlp.stats.Distribution
-
Returns an object sampled from the distribution using Math.random().
- sampleFrom(Random) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns an object sampled from the distribution using a self-provided
random number generator.
- sampleFromDistribution(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- sampleFromDistribution(double[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- sampleFromDistribution(float[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Samples from the distribution over values 0 through d.length given by d.
- Sampler<T> - Interface in edu.stanford.nlp.stats
-
An interace for drawing samples from the label
space of an object.
- sampleWithoutReplacement(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Fills the array with sample from 0 to numArgClasses-1 without replacement.
- sampleWithoutReplacement(int[], int, Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Fills the array with sample from 0 to numArgClasses-1 without replacement.
- sampleWithoutReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples without replacement from a collection.
- sampleWithoutReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples without replacement from a collection, using your own
Random
number generator.
- sampleWithReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples with replacement from a collection.
- sampleWithReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Samples with replacement from a collection, using your own Random
number generator.
- samplingSpeedUpThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- save(String, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- save(DataOutputStream, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair
-
Write a string representation of a Pair to a DataStream.
- save2DCounter(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- save2DCounterSorted(TwoDimensionalCounterInterface<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Writes the lambda feature weights to the file.
- save_lambdas(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Writes the lambdas to a stream.
- saveConfig(OutputStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Serialize the TaggerConfig.
- saveCounter(Counter<E>, OutputStream) - Static method in class edu.stanford.nlp.stats.Counters
-
Saves a Counter as one key/count pair per line separated by white space to
the given OutputStream.
- saveCounter(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Saves a Counter to a text file.
- saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- saveModel(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- saveModel(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- saveToFilename(String) - Method in class edu.stanford.nlp.util.HashIndex
-
- saveToFilename(String) - Method in interface edu.stanford.nlp.util.Index
-
Save the contents of this index into a file.
- saveToWriter(Writer) - Method in class edu.stanford.nlp.util.HashIndex
-
This saves the contents of this index into string form, as part of a larger
text-serialization.
- saveToWriter(Writer) - Method in interface edu.stanford.nlp.util.Index
-
Save the contents of this index into string form, as part of a larger
text-serialization.
- SAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- scale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter which is scaled by the given scale factor.
- scale(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Creates a new TwoDimensionalCounter where all the counts are scaled by d.
- scaledSGDMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
-
- scalingForInit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How much to scale certain parameters when initializing models.
- score() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- score() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- score(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- score(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Get the score of this word with this tag (as an IntTaggedWord) at this
location.
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
-
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- score(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a IntDependency according to the grammar.
- score(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
- score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
- score(IntTaggedWord, int, String, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Get the score of this word with this tag (as an IntTaggedWord) at this
loc.
- score(IntTaggedWord, int, double, double, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Get the score of this word with this tag (as an IntTaggedWord) at this
loc.
- score - Variable in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- score() - Method in class edu.stanford.nlp.trees.Constituent
-
access score
- score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns the score associated with the current node, or Nan
if there is no score
- score() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the score associated with the current node, or NaN
if there is no score.
- score() - Method in interface edu.stanford.nlp.util.Scored
-
- score() - Method in class edu.stanford.nlp.util.ScoredObject
-
- SCORE_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- scoreAll(Collection<IntDependency>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- Scored - Interface in edu.stanford.nlp.util
-
Scored: This is a simple interface that says that an object can answer
requests for the score, or goodness of the object.
- ScoredObject<T> - Class in edu.stanford.nlp.util
-
Wrapper class for holding a scored object.
- ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
-
- ScoreEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the score assigned by this model to the whole sequence.
- scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the score of the element at the given position in the sequence,
conditioned on the values of the elements in all other positions of the
provided sequence.
- scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreOf(int[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
- SCORER - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
-
Computes the scores of labels for the element at the given position in
the sequence, conditioned on the values of the labels at all other
positions of the provided sequence.
- scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- scoreTB(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- scoreTB(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score an IntDependency in the reduced tagBin space according to the
grammar.
- scoreTB(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
- scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Score a tag binned dependency.
- SEARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- searchGraphPrefix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- searchGraphPrune - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- second - Variable in class edu.stanford.nlp.util.Pair
-
Direct access is deprecated.
- second() - Method in class edu.stanford.nlp.util.Pair
-
- second - Variable in class edu.stanford.nlp.util.Triple
-
- second() - Method in class edu.stanford.nlp.util.Triple
-
- secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- secondKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- secondOrderNonLinear - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
-
- SectionDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
-
- SectionEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
-
- SectionIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
-
- SectionStartAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
-
- seenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Records the number of times word/tag pair was seen in training data.
- segMarker - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
- segment(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- segment - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- segment(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- segmentationMarker - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- segmenterClass - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- segmentMarkov - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- selectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Only split the "common high KL divergence" parent categories....
- selectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- selfRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- selfTest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainConfidenceThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- selfTrainWindowSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
- SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
- SemanticGraph - Class in edu.stanford.nlp.semgraph
-
Represents a semantic graph of a sentence or document, with IndexedWord
objects for nodes.
- SemanticGraph() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
- SemanticGraph(SemanticGraph) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a new SemanticGraph which is a copy of the supplied SemanticGraph.
- SemanticGraph(SemanticGraph, Map<IndexedWord, IndexedWord>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
Copies a the current graph, but also sets the mapping from the old to new
graph.
- SemanticGraph(Collection<TypedDependency>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
-
This is the constructor used by the parser.
- SemanticGraph.OutputFormat - Enum in edu.stanford.nlp.semgraph
-
- SemanticGraphEdge - Class in edu.stanford.nlp.semgraph
-
Represents an edge in the dependency graph.
- SemanticGraphEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- SemanticGraphEdge(SemanticGraphEdge) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- SemanticGraphFactory - Class in edu.stanford.nlp.semgraph
-
Refactoring of static makers of SemanticGraphs in order to simplify
the SemanticGraph class.
- SemanticGraphFactory.Mode - Enum in edu.stanford.nlp.semgraph
-
- SemanticGraphFormatter - Class in edu.stanford.nlp.semgraph
-
Defines a class for pretty-printing SemanticGraphs.
- SemanticGraphFormatter() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- SemanticGraphFormatter(int, int, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
-
- SemanticHeadFinder - Class in edu.stanford.nlp.trees
-
Implements a 'semantic head' variant of the the English HeadFinder
found in Michael Collins' 1999 thesis.
- SemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
- SemanticHeadFinder(boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
- SemanticHeadFinder(TreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
-
Create a SemanticHeadFinder.
- SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
-
- SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
-
- SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
-
- SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
-
- SemgrexMatcher - Class in edu.stanford.nlp.semgraph.semgrex
-
- SemgrexParseException - Exception in edu.stanford.nlp.semgraph.semgrex
-
A runtime exception that indicates something went wrong parsing a
semgrex expression.
- SemgrexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
-
- SemgrexPattern - Class in edu.stanford.nlp.semgraph.semgrex
-
A SemgrexPattern is a tgrep
-type pattern for matching node
configurations in one of the SemanticGraph structures.
- sent - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- Sentence - Class in edu.stanford.nlp.ling
-
Sentence holds a couple utility methods for lists.
- SentenceBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceBeginAnnotation
-
- SentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceEndAnnotation
-
- sentenceFinalPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of sentence final punctuation tags for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of sentence final punctuation words for this
treebank/language.
- sentenceFinalPunctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of sentence final punctuation words for
this treebank/language.
- SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
-
- SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
-
- SentencePositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
-
- SentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
-
- sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
- sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- sentIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- separateASCIIandRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- separatePronouns(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Attempt to separate attached pronouns from the given verb.
- SEQ_BEGIN_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SEQ_END_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SeqBackRef(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqClassifierFlags - Class in edu.stanford.nlp.sequences
-
Flags for sequence classifiers.
- SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Create a new SeqClassifierFlags object initialized with default values.
- SeqClassifierFlags(Properties) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Create a new SeqClassifierFlags object and initialize it using values in
the Properties object.
- SeqClassifierFlags.SlashHyphenEnum - Enum in edu.stanford.nlp.sequences
-
- SeqRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexRepeatTimes(Env, SequencePattern.PatternExpr) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SeqRegexWithAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SequenceEndPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
-
- SequenceMatchAction<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
Performs action on a sequence
- SequenceMatchAction.BoundAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.BranchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.NextMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.SeriesAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchAction.StartMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
-
- SequenceMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
-
A generic sequence matcher.
- SequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- SequenceMatcher.BasicMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a sequence of items
- SequenceMatcher.FindType - Enum in edu.stanford.nlp.ling.tokensregex
-
Type of search to perform
FIND_NONOVERLAPPING - Find nonoverlapping matches (default)
FIND_ALL - Find all potential matches
Greedy/reluctant quantifiers are not enforced
(perhaps should add syntax where some of them are enforced...)
- SequenceMatcher.GroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a matched group specified with a group id
- SequenceMatcher.MatchReplacement<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface that specifies what to replace a matched pattern with
- SequenceMatcher.NamedGroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Replacement item is a matched group specified with a group name
- SequenceMatchResult<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
The result of a match against a sequence.
- SequenceMatchResult.GroupToIntervalFunc<MR extends java.util.regex.MatchResult> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchResult.MatchedGroupInfo<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Information about a matched group
- sequenceMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- SequenceMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- SequenceMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- SequenceMatchRules - Class in edu.stanford.nlp.ling.tokensregex
-
Rules for matching sequences using regular expressions
- SequenceMatchRules() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- SequenceMatchRules.AnnotationExtractRule<S,T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
-
Rule that specifies how to extract sequence of MatchedExpression from an annotation (CoreMap).
- SequenceMatchRules.AnnotationExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.AnnotationMatchedFilter - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.AssignmentRule - Class in edu.stanford.nlp.ling.tokensregex
-
Rule that specifies what value to assign to a variable
- SequenceMatchRules.BasicSequenceExtractRule - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule
Input is of type CoreMap, output is MatchedExpression
- SequenceMatchRules.CompositeExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.CoreMapExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule to apply a extraction rule on a particular CoreMap field
Input is of type CoreMap, output is templated type O.
- SequenceMatchRules.CoreMapFunctionApplier<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.CoreMapToListExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that treats a single CoreMap as a list/sequence of CoreMaps
(convenience class, for use with BasicSequenceExtractRule)
Input is of type CoreMap, output is templated type O.
- SequenceMatchRules.CoreMapToListFunctionApplier<O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.ExtractRule<I,O> - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface for a rule that extracts a list of matched items from a input
- SequenceMatchRules.FilterExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that filters the input before passing it on to the next extractor
- SequenceMatchRules.ListExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
-
Extraction rule that applies a list of rules in sequence and aggregates
all matches found
- SequenceMatchRules.Rule - Interface in edu.stanford.nlp.ling.tokensregex
-
A sequence match rule
- SequenceMatchRules.SequenceMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.SequenceMatchResultExtractor<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.SequencePatternExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringMatchResultExtractor - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.StringPatternExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.TextPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceMatchRules.TokenPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
-
- SequenceModel - Interface in edu.stanford.nlp.sequences
-
Interface for scoring the labeling of sequences of a fixed length.
- SequencePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Generic Sequence Pattern for regular expressions.
- SequencePattern(SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- SequencePattern.AndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.BackRefPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.GroupPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a group.
- SequencePattern.MultiNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a pattern that can match multiple nodes.
- SequencePattern.NodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents one element to be matched.
- SequencePattern.NodesMatchChecker<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.OrPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a disjunction.
- SequencePattern.Parser<T> - Interface in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.PatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a sequence pattern expressions (before translating into NFA).
- SequencePattern.RepeatPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Expression that represents a pattern that repeats for a number of times.
- SequencePattern.SequenceEndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.SequencePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.SequenceStartPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePattern.SpecialNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
Represents one element to be matched.
- SequencePattern.ValuePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
-
- SequencePatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- SequencePatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- SequencePatternExtractRule(Env, String, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>, SequenceMatcher.FindType, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- SequenceRegexPattern(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
-
- SequenceStartPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
-
- SeqVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SerializableFunction<T1,T2> - Interface in edu.stanford.nlp.process
-
This interface is a conjunction of Function and Serializable, which is
a bad idea from the perspective of the type system, but one that seems
more palatable than other bad ideas until java's type system is flexible
enough to support type conjunctions.
- serializeClassIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializedDictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeFeatureIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- serializeWeightsTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SeriesAction(SequenceMatchAction<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- SeriesAction(List<SequenceMatchAction<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- set(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Associates the given value with the given type for future calls
to get.
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.HashableCoreMap
-
Sets the value associated with the given key; if the the key is one
of the hashable keys, throws an exception.
- set(int, int) - Method in class edu.stanford.nlp.util.IntTuple
-
- set(double) - Method in class edu.stanford.nlp.util.MutableDouble
-
- set(int) - Method in class edu.stanford.nlp.util.MutableInteger
-
- set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Associates the given value with the given type for future calls
to get.
- SET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- SET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- setAction(SequenceMatchAction<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the whitespace String after the word.
- setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the whitespace String after the word.
- setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- setAmbClasses(AmbiguityClasses, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
This makes ambiguity classes from all words in the dictionary and remembers
their classes in the TagCounts
- SetAttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- SetAttrValues(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the whitespace String before the word.
- setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the whitespace String before the word.
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the beginning character offset for the label.
- setBeginPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
-
Set the beginning character offset for the label.
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setBeginPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
-
- setBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- setBranchLimit(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setCapacity(int) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
- setCategory(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setCategory(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the category value for the label (if one is stored).
- setCategory(String) - Method in interface edu.stanford.nlp.ling.HasCategory
-
Set the category value for the label (if one is stored).
- setCategoryWordTag(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Replaces the i
th child of this
with the tree t.
- setChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the children of this Tree
.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.SimpleTree
-
Sets the children of this Tree
.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.Tree
-
Set the children of this node to be the children given in the
array.
- setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Set the children of this tree node to the given list.
- setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Sets the children of this TreeGraphNode
.
- setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the children of this tree node to the given list.
- setClosedClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setColorChannels(boolean) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
- setCopyCount(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setCorrectTags(List<? extends HasTag>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- setCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Sets the count for the given key to be the given value.
- setCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Sets the count for the given key to be the given value.
- setCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Sets the current count for the given key.
- setCount(E, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- setCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- setCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- setCounter(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
replace the counter for K1-index o by new counter c
- setCounter(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
replace the counter for K1-index o by new counter c
- setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Sets the current count for each of the given keys.
- setDefaultNestedResultsAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultResultsAnnotationExtractor(Function<MatchedExpression, ?>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Sets the default return value.
- setDefaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.Counter
-
Sets the default return value.
- setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setDefaultReturnValue(int) - Method in class edu.stanford.nlp.stats.IntCounter
-
- setDefaults(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultStringMatchFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultStringPatternFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTextAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensAggregators(Map<Class, CoreMapAttributeAggregator>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDefaultTokensResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setDelimPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Sets the width used to separate cells in the table.
- setDep(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
- setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setDocID(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
If this is set to true, then the binarizer will choose selectively whether or not to
split states based on how many counts the states had in a previous run.
- setEdge(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setElementDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Only read text from inside these XML elements if in XML mode.
- setEnd(int) - Method in class edu.stanford.nlp.trees.Constituent
-
set end node.
- setEnd(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
set end node.
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the ending character offset of the label (or -1 if none).
- setEndPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
-
Set the ending character offset of the label (or -1 if none).
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setEndPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
-
- setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Set the String
returned when the inner tokenizer
returns an end-of-line token.
- setEPS(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- setError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- setEscaper(Function<List<HasWord>, List<HasWord>>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Set an escaper.
- setEvalGF(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- setEvaluateGrammaticalFunctions(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets whether to consider grammatical functions in evaluation
- setEvaluateGrammaticalFunctions(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
If evalGFs = true, then the evaluation of parse trees will include evaluation on grammatical functions.
- setEvaluators(int, Evaluator[]) - Method in interface edu.stanford.nlp.optimization.HasEvaluators
-
- setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setEvaluators(int, int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setExtractRules(SequenceMatchRules.ExtractRule<CoreMap, T>, SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, Predicate<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- setFeatureValue(String, String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- setFindType(SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
-
- setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Set everything by reversing a toString operation.
- setFromString(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in interface edu.stanford.nlp.ling.Label
-
Set the contents of this label to this String
representing the
complete contents of the label.
- setFromString(String) - Method in class edu.stanford.nlp.ling.StringLabel
-
Set the label from a String.
- setFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
Sets a TaggedWord from decoding
the String
passed in.
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.ValueLabel
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
The String is divided according to the divider character (usually, "/").
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setFromString(String) - Method in class edu.stanford.nlp.ling.WordTag
-
Sets a WordTag from decoding
the String
passed in.
- setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordTag
-
- setFromString(String) - Method in class edu.stanford.nlp.trees.Constituent
-
Make a new label with this String
as the "name", perhaps
by doing some appropriate decoding of the string.
- setFromString(String) - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- setFromString(String) - Method in class edu.stanford.nlp.trees.Tree
-
- setGenerateOriginalDependencies(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
For languages that have implementations of the
original Stanford dependencies and Universal
dependencies, this parameter is used to decide which
implementation should be used.
- setGenerateOriginalDependencies(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setGenerateOriginalDependencies(boolean) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- setGenerateOriginalDependencies(boolean) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
- setGfCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- setGfCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Sets the grammatical function indicating character to gfCharacter.
- setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
For supplying a new instance for the global methods to use.
- setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.Interner
-
For supplying a new instance for the global methods to use.
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
Any subclass of this extractor that overrides setGlobalHolder
should call this class's setGlobalHolder as well...
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
Subclasses should override this method and keep only the data
they want about the tagger.
- setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- setGov(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
-
- setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setIncludeNested(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- setIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
- setIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the index for the current node.
- setInputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets the input encoding.
- setInputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setInsertNPinPP(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- setIsExtra(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.CGMinimizer
-
- setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setKeepEmptySentences(boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Set whether or not the tokenizer keeps empty sentences in
whitespace mode.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.Constituent
-
Sets the label associated with the current Constituent,
if there is one.
- setLabel(Label) - Method in interface edu.stanford.nlp.trees.Labeled
-
Sets the label associated with this object.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
- setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the label associated with the current node, if there is one.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.Tree
-
Sets the label associated with the current node, if there is one.
- setLabel(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- setLabel(CoreLabel) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Sets the label associated with the current node.
- setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Constituent
-
- setLabels(Collection<Label>) - Method in interface edu.stanford.nlp.trees.Labeled
-
Sets the labels associated with this object.
- setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Tree
-
- setLeafLabels(Tree, List<Label>) - Static method in class edu.stanford.nlp.trees.Trees
-
Replace the labels of the leaves with the given leaves.
- setLeafTagsIfUnset(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Given a tree, set the tags on the leaf nodes if they are not
already set.
- setLearnClosedTags(boolean) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- setLeftPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
This sets the lefthand side pad width for displaying the text table.
- setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the lemma value for the label (if one is stored).
- setLemma(String) - Method in interface edu.stanford.nlp.ling.HasLemma
-
Set the lemma value for the label (if one is stored).
- setLemma(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setLex(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- setLexicon(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- setLexicon(Lexicon) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Set the Lexicon, which the DependencyGrammar may use in scoring P(w|t).
- setLogger(Logger) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setMap(Map<K1, V1>) - Method in class edu.stanford.nlp.util.MapFactory
-
A method to get a parameterized (genericized) map out.
- setMap(Map<K1, V1>, int) - Method in class edu.stanford.nlp.util.MapFactory
-
- setMatchType(MultiWordStringMatcher.MatchType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- setMatchWithResult(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- setMaxNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.Experiments
-
- setMinNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- setNER(String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
-
Set the named entity class of the label.
- setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the named entity class of the label.
- setNER(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setNonBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
- setNormalizationCacheSize(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setOpenClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- setOption(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option based on a String array in the style of
commandline flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Some options for setOptionFlag:
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option in this object, based on a String array in the style of
commandline flags.
- setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
Set language-specific options according to flags.
- setOptionFlag(String[], int) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Set a language-specific option according to command-line flags.
- setOptionFlags(String...) - Method in interface edu.stanford.nlp.parser.ViterbiParserWithOptions
-
This will set options to a parser, in a way generally equivalent to
passing in the same sequence of command-line arguments.
- setOptionOrWarn(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set an option based on a String array in the style of
commandline flags.
- setOptions(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
options: A comma-separated list of options
- setOptions(String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
Set underlying tokenizer options.
- setOptions(String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
Set underlying tokenizer options.
- setOptions(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptions(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptions(String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
- setOptions(String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
-
- setOptions(String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- setOptions(String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
- setOptionsOrWarn(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOptionsOrWarn(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
-
Set options based on a String array in the style of
commandline flags.
- setOrder(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- setOriginalText(String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
-
- setOriginalText(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the String which is the original character sequence of the token.
- setOriginalText(String) - Method in interface edu.stanford.nlp.ling.HasContext
-
Set the String which is the original character sequence of the token.
- setOriginalText(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setOutputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Sets the output encoding.
- setOutputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Set the parent for the current node.
- setPriority(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Initialize this object using values in Properties object.
- setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Initialize using values in Properties file.
- setProperties(Properties) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- setRelation(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setReln(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- setRoot(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- setRoots(Collection<IndexedWord>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- Sets - Class in edu.stanford.nlp.util
-
Utilities for sets.
- setScore(double) - Method in class edu.stanford.nlp.trees.Constituent
-
Sets the score associated with the current node, if there is one
- setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Sets the score associated with the current node, if there is one
- setScore(double) - Method in class edu.stanford.nlp.trees.Tree
-
Sets the score associated with the current node, if there is one.
- setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
-
- setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
-
- setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
-
- setSentenceDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Make the processor assume that the document is already delimited
by the supplied parameter.
- setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Sets the end-of-sentence delimiters.
- setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
- setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
-
- setSentIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setSentIndex(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
Set the sentence index of all the leaves in the tree
(only works on CoreLabel)
- setSequenceMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setSize(int) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
-
- setSource(int) - Method in class edu.stanford.nlp.util.IntUni
-
- setSpans() - Method in class edu.stanford.nlp.trees.Tree
-
Assign a SpanAnnotation on each node of this tree.
- setStart(int) - Method in class edu.stanford.nlp.trees.Constituent
-
set start node.
- setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
set start node.
- setStringMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setSum() - Method in class edu.stanford.nlp.maxent.Feature
-
- setTag(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setTag(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the tag value for the label (if one is stored).
- setTag(String) - Method in interface edu.stanford.nlp.ling.HasTag
-
Set the tag value for the label (if one is stored).
- setTag(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setTag(Label) - Method in class edu.stanford.nlp.ling.LabeledWord
-
- setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- setTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- setTag(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Set the tag for the Label.
- setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- setTagDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Split tags from tokens.
- setTags(Tags) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Set the tags associated with this expression.
- setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- setThird(T3) - Method in class edu.stanford.nlp.util.Triple
-
- setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
-
Sets the factory from which to produce a
Tokenizer
.
- setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- setTOL(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- setUnknownWordModel(UnknownWordModel) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- setup(File, String...) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Perform initialization prior to the first call to map
.
- setup() - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
-
Set up the Redwood logger with Stanford's default configuration
- setUseRealLabels(boolean) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
- setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setValue(String) - Method in interface edu.stanford.nlp.ling.Label
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.StringLabel
-
Set the value for the label.
- setValue(String) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Set the value for the Label.
- setValue(String) - Method in class edu.stanford.nlp.ling.WordTag
-
Set the value for the label (if one is stored).
- setValue(int, int, double) - Method in class edu.stanford.nlp.maxent.Feature
-
Used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into
indexedValues, and value goes into valuesI.
- setValue(String) - Method in class edu.stanford.nlp.trees.Constituent
-
Set the value for the label (if one is stored).
- setValue(String) - Method in class edu.stanford.nlp.trees.Tree
-
- setVariables(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- setWeight(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- setWeight(double) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- setWord(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- setWord(String) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Set the word value for the label.
- setWord(String) - Method in interface edu.stanford.nlp.ling.HasWord
-
Set the word value for the label (if one is stored).
- setWord(String) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- setWord(String) - Method in class edu.stanford.nlp.ling.Word
-
- setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SGDPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SGML - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
-
- shapeOf(CharSequence, boolean, boolean) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- shortNameToGRel - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- showAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all of the channels.
- showCCInfo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- showNCCInfo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- showOnlyChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Show only these channels, as far as downstream handlers are concerned.
- showOnlyError - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Show only errors (e.g., to send them to an error file)
- shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- siblings(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the siblings of this Tree node.
- sideCounters(String, List, List, Map) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sighanCorporaDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in
corpus
- sighanPostProcessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- sigLevelByApproxRand(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Computes the significance level by approximate randomization, using a
default value of 1000 iterations.
- sigLevelByApproxRand(double[], double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Takes a pair of arrays, A and B, which represent corresponding
outcomes of a pair of random variables: say, results for two different
classifiers on a sequence of inputs.
- sigLevelByApproxRand(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(int[], int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(boolean[], boolean[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigLevelByApproxRand(boolean[], boolean[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SIGMA_SQUARED - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Compute the sigmoid function with mean zero.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Signal the end of a track, i.e.
- signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Signal the end of a track, i.e.
- signalShutdown() - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
- signalShutdown() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
Signal the start of a track, i.e.
- signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Signal the start of a track, i.e.
- signature - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- simpleBinarizedLabels - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When binarizing trees, don't annotate the labels with anything
- SimpleCachedExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- SimpleConstituent - Class in edu.stanford.nlp.trees
-
A SimpleConstituent
object defines a generic edge in a graph.
- SimpleConstituent() - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
-
Create an empty SimpleConstituent
object.
- SimpleConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
-
Create a SimpleConstituent
object with given values.
- SimpleConstituentFactory - Class in edu.stanford.nlp.trees
-
A ConstituentFactory
acts as a factory for creating objects
of class Constituent
, or some descendent class.
- SimpleConstituentFactory() - Constructor for class edu.stanford.nlp.trees.SimpleConstituentFactory
-
- SimpleExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- simpleGoodTuring(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter using Gale & Sampsons'
"simple Good-Turing" smoothing.
- SimpleGoodTuring - Class in edu.stanford.nlp.stats
-
Simple Good-Turing smoothing, based on code from Sampson, available at:
ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c
See also http://www.grsampson.net/RGoodTur.html
- SimpleGoodTuring(int[], int[]) - Constructor for class edu.stanford.nlp.stats.SimpleGoodTuring
-
Each instance of this class encapsulates the computation of the smoothing
for one probability distribution.
- SimpleStringFunction(String) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- SimpleTree - Class in edu.stanford.nlp.trees
-
A SimpleTree
is a minimal concrete implementation of an
unlabeled, unscored Tree
.
- SimpleTree() - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create an empty parse tree.
- SimpleTree(Label) - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create parse tree with given root and null daughters.
- SimpleTree(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.SimpleTree
-
Create parse tree with given root and array of daughter trees.
- simpleTreeBinarizer(HeadFinder, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Builds a TreeBinarizer with all of the options set to simple values
- SimpleTreeFactory - Class in edu.stanford.nlp.trees
-
A SimpleTreeFactory
acts as a factory for creating objects
of class SimpleTree
.
- SimpleTreeFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
-
Creates a new TreeFactory
.
- SimpleValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- simplify(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Simplifies the expression using the specified environment.
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- simplifyNoTypeConversion(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- SingleAnnotationExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- sisterAnnotate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Selective Sister annotation.
- SisterAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
-
See what sister annotation helps in treebank, based on support and
KL divergence.
- SisterAnnotationStats() - Constructor for class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sisterCounters(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- sisterSplitLevel - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Set the support * KL cutoff level (1-4) for sister splitting
-- don't use it, as far as we can tell so far
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the splitting strings used for selective splits.
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- sisterSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- sisterSplitters() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns the splitting strings used for selective splits.
- size() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- size() - Method in interface edu.stanford.nlp.ling.tokensregex.PhraseTable.WordList
-
- size() - Method in class edu.stanford.nlp.maxent.Experiments
-
Returns the number of training data items.
- size() - Method in class edu.stanford.nlp.maxent.Features
-
- size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- size() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
-
- size() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- size() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the number of entries stored in this counter.
- size() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the number of entries stored in this counter.
- size() - Method in class edu.stanford.nlp.stats.IntCounter
-
- size() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- size() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- size() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- size() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- size - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- size() - Method in class edu.stanford.nlp.trees.Constituent
-
Return the length of a Constituent
- size() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- size() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Returns the size of the Treebank.
- size() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the number of nodes the tree contains.
- size() - Method in class edu.stanford.nlp.trees.Treebank
-
Returns the size of the Treebank.
- size() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns the number of elements in this map.
- size() - Method in class edu.stanford.nlp.util.ArrayMap
-
- size() - Method in class edu.stanford.nlp.util.ArraySet
-
Returns size of set.
- size() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Get the number of elements in the queue.
- size() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
The number of keys in this map.
- size() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- size() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- size() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Number of elements in the queue.
- size() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns the number of indexed objects.
- size() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns the number of elements in this set (its cardinality).
- size() - Method in interface edu.stanford.nlp.util.Index
-
Returns the number of indexed objects.
- size() - Method in class edu.stanford.nlp.util.Interner
-
- size() - Method in class edu.stanford.nlp.util.IntervalTree
-
- size() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- size() - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns the number of keys in the map.
- SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
-
- sizeOuterMap() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Calculates the skew divergence between the two counters.
- skipOutputRegularization - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- skipRoot() - Method in class edu.stanford.nlp.trees.Tree
-
Returns first child if this is unary and if the label at the current
node is either "ROOT" or empty.
- slashHyphenTreatment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- sloppyGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SloppyMath - Class in edu.stanford.nlp.math
-
The class SloppyMath
contains methods for performing basic
numeric operations.
- slurpFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File.
- slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File.
- slurpFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given encoding.
- slurpFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file
- slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given file with the given
encoding.
- slurpGZippedFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File.
- slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text in the given File.
- slurpReader(Reader) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text from the given Reader.
- slurpURL(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURL(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns all the text at the given URL.
- smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Have tags changeable based on statistics on word types having various
taggings.
- smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Smarter smoothing for rare words.
- smooth_aPTW_aPT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aT_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aT_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Bayesian m-estimate prior for aT given hTWd against base distribution
of aT given hTd.
- smooth_aTW_aT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aTW_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smooth_aTW_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Bayesian m-estimate prior for aTW given hTWd against base distribution
of aTW given hTd.
- smooth_stop - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- smoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
TODO wsg2011: This is the old grammar smoothing parameter that no
longer does anything in the parser.
- smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
If a word has been seen more than this many times, then relative
frequencies of tags are used for POS assignment; if not, they are smoothed
with tag priors.
- smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
Words more common than this are tagged with MLE P(t|w).
- softmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- softmaxOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- softmaxTieLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- solveCG() - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using conjugate gradient (CG).
- solveL1(double) - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using OWLQN.
- solveOWLQN2(double) - Method in class edu.stanford.nlp.maxent.CGRunner
-
- solveQN() - Method in class edu.stanford.nlp.maxent.CGRunner
-
Solves the problem using a quasi-newton method (L-BFGS).
- sorted(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Return the items of an Iterable as a sorted list.
- sorted(Iterable<T>, Comparator<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Return the items of an Iterable as a sorted list.
- sortedEntries(Collection<Map.Entry<K, V>>) - Static method in class edu.stanford.nlp.util.Maps
-
Sorts a list of entries.
- sortedEntries(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
-
Returns a List of entries in the map, sorted by key.
- sortedIfPossible(Collection<T>) - Static method in class edu.stanford.nlp.util.ErasureUtils
-
- SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
-
- SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
-
- SpanishHeadFinder - Class in edu.stanford.nlp.trees.international.spanish
-
- SpanishHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
- SpanishHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
-
- SpanishTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
-
Tokenizer for raw Spanish text.
- SpanishTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
Constructor.
- SpanishTokenizer.SpanishTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
-
A factory for Spanish tokenizer instances.
- SpanishTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.spanish
-
Language pack for the Spanish treebank.
- SpanishTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
- SpanishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
TreebankLangParserParams for the AnCora corpus.
- SpanishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- SpanishTreeNormalizer - Class in edu.stanford.nlp.trees.international.spanish
-
Normalize trees read from the AnCora Spanish corpus.
- SpanishTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- SpanishTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- SpanishTreeReaderFactory - Class in edu.stanford.nlp.trees.international.spanish
-
A class for reading Spanish AnCora trees that have been converted
from XML to PTB format.
- SpanishTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
-
- SpanishUnknownWordSignatures - Class in edu.stanford.nlp.international.spanish
-
Contains patterns for matching certain word types in Spanish, such
as common suffices for nouns, verbs, adjectives and adverbs.
- SpanishVerbStripper - Class in edu.stanford.nlp.international.spanish
-
Provides a utility function for removing attached pronouns from
Spanish verb forms.
- sparseOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
-
- spearmanRankCorrelation(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- spec() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- SpecialNodePatternExpr(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- SpecialNodePatternExpr(String, Factory<SequencePattern.State>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- spliceOut(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- spliceOut(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
- split(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits on whitespace (\\s+).
- split(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits the given string using the given regex as delimiters.
- splitAux - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Make special tags for forms of BE and HAVE (and maybe DO/HELP, etc.).
- splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Mark base NPs.
- splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark base NPs.
- splitCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Provide annotation of conjunctions.
- splitCompoundOption - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- splitCompoundOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitContractionOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitCoreMap(Pattern, boolean, CoreMap, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- splitCount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If we are predicting splits, we loop this many times
- splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- spliterator() - Method in class edu.stanford.nlp.util.IterableIterator
-
- splitFieldsFast(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Splits a string into whitespace tokenized fields based on a delimiter.
- splitIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Annotate prepositions into subcategories.
- splitJJCOMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put a special tag on 'adjectives with complements'.
- splitMoreLess - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Specially mark the comparative/superlative words: less, least,
more, most
- splitMorphString(String, String) - Static method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
Returns the lemma as pair.first() and the morph analysis as pair.second().
- splitNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark NNP words as to position in phrase (single, left, right, inside)
or subcategorizes NNP(S) as initials or initial/final in NP.
- splitNOT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Annotates forms of "not" specially as tag "NOT".
- splitNPADV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Retain NP-ADV annotation.
- splitNPNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark NP-NNP.
- splitNPpercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark phrases that are headed by %.
- splitNPPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- splitNPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Whether to retain the -TMP functional tag on various phrasal
categories.
- splitNumNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark "numeric NPs".
- splitOnChar(String, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
- splitOnCharWithQuoting(String, char, char, char) - Static method in class edu.stanford.nlp.util.StringUtils
-
This function splits the String s into multiple Strings using the
splitChar.
- splitOnHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitPercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark the nouns that are percent signs.
- splitPoss - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Give a special tag to NPs which are possessive NPs (end in 's).
- splitPPJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
A special test for "such" mainly ("such as Fred").
- splitPPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- splitPrePreT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Mark all pre-preterminals (also does splitBaseNP: don't need both)
- splitQuotes - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark quote marks for single vs.
- splitRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Split modifier (NP, AdjP) adverbs from others.
- splitRecombineRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If we are predicting splits, we recombine states at this rate every loop
- splitSbar - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Split SBAR nodes.
- splitSFP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Separate out sentence final punct.
- splitSGapped - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark specially S nodes with "gapped" subject (control, raising).
- splitSlashHyphenWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitSTag - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Mark S/SINV/SQ nodes according to verbal tag.
- splitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Set the splitter strings.
- splitText(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- splitTMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Retain NP-TMP (or maybe PP-TMP) annotation.
- splitTRJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put a special tag on 'transitive adjectives' with NP complement, like
'due May 15' -- it also catches 'such' in 'such as NP', which may
be a good.
- splitVerbOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- splitVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Add (head) tags to VPs.
- splitVPNPAgr - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Put enough marking on VP and NP to permit "agreement".
- splitWordRegex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- splitXPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- SQflatten(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Removes the SQ structure under a WHNP question, such as "Who am I
to judge?".
- SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
-
- SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
-
- SSPLIT_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
-
- StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
-
- Stage() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor.Stage
-
- stage - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Stage in which this rule should be applied with respect to others
- stalledIterationLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How many iterations to allow training to stall before taking the
best model, if training in an iterative manner
- standard() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
The default Redwood configuration, which prints to the console.
- standardDeviation(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- standardize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
- STANFORD_CLEAN_XML - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_COLUMN_DATA_CLASSIFIER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_COREF - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_DEPENDENCIES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_DETERMINISTIC_COREF - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_ENTITY_MENTIONS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_GENDER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_LEMMA - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_NATLOG - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_PARSE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_POS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_QUOTE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_REGEXNER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_RELATION - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_SENTIMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_SSPLIT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- STANFORD_TOKENIZE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
These are annotators which StanfordCoreNLP knows how to create.
- STANFORD_TRUECASE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- StanfordRedwoodConfiguration - Class in edu.stanford.nlp.util.logging
-
- start() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- start(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- start(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the start index of the subsequence captured by the given group
during this match.
- start(double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- start(double, double[], double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
- start() - Method in class edu.stanford.nlp.trees.Constituent
-
access start node.
- start() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
access start node.
- start() - Method in class edu.stanford.nlp.util.Timing
-
Start timer.
- start(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Start timer & print a message.
- start(String) - Method in class edu.stanford.nlp.util.Timing
-
- startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print the start of timing message to stderr and start the timer.
- startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- startEvaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- StartMatchAction(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
-
- startSymbol() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbol() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
- startSymbolAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbolAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
- startSymbols() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- startSymbols() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startSymbols() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of treebank start symbols.
- startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Start a multithreaded logging environment.
- startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- startTime() - Static method in class edu.stanford.nlp.util.Timing
-
Start (static) timer.
- startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Begin a "track;" that is, begin logging at one level deeper.
- startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
-
- STB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
- STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- stderr - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a standard error.
- stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- stdout - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a standard output.
- stem(Word) - Method in class edu.stanford.nlp.process.Morphology
-
- stem(String) - Method in class edu.stanford.nlp.process.Morphology
-
- stem(CoreLabel) - Method in class edu.stanford.nlp.process.Morphology
-
Adds the LemmaAnnotation to the given CoreLabel.
- stem(CoreLabel, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.process.Morphology
-
Adds annotation ann
to the given CoreLabel.
- STEM_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
-
- stemStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology
-
Return a new WordTag which has the lemma as the value of word().
- stemStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
-
Return a new WordTag which has the lemma as the value of word().
- stemStaticSynchronized(String, String) - Static method in class edu.stanford.nlp.process.Morphology
-
- stochasticBatchSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
-
This enumeratin was created to organize the selection of different methods for stochastic
calculations.
- stochasticMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- STOP - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- stop() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Stop Redwood, closing all tracks and prohibiting future log messages.
- stop() - Method in class edu.stanford.nlp.util.Timing
-
Stop timer.
- stop(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and stop timer.
- stop(String) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and stop timer.
- stop(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and stop timer.
- STOP_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- STOP_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- stopCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- stopTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- str - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- StreamGobbler - Class in edu.stanford.nlp.util
-
Reads the output of a process started by Process.exec()
Adapted from:
http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
- StreamGobbler(InputStream, Writer) - Constructor for class edu.stanford.nlp.util.StreamGobbler
-
- strictGoodCoNLL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyFirstOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlySecondOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyThirdOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- strictlyZeroethOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- STRING_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- STRING_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- StringAnnotationPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
-
- StringAnnotationPattern(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
-
- StringAnnotationRegexPattern(Pattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- StringAnnotationRegexPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- stringFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a single string.
- stringFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Returns the contents of a file as a single string.
- StringFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- StringFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- StringInSetAnnotationPattern(Set<String>, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
-
- StringInSetAnnotationPattern(Set<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
-
- stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
-
If first and second are Strings, then this returns an MutableInternedPair
where the Strings have been interned, and if this Pair is serialized
and then deserialized, first and second are interned upon
deserialization.
- StringLabel - Class in edu.stanford.nlp.ling
-
A StringLabel
object acts as a Label by containing a
single String, which it sets or returns in response to requests.
- StringLabel() - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with a null content (i.e., str).
- StringLabel(String) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the given content.
- StringLabel(String, int, int) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the given content.
- StringLabel(Label) - Constructor for class edu.stanford.nlp.ling.StringLabel
-
Create a new StringLabel
with the
value()
of another label as its label.
- StringLabelFactory - Class in edu.stanford.nlp.ling
-
A StringLabelFactory
object makes a simple
StringLabel
out of a String
.
- StringLabelFactory() - Constructor for class edu.stanford.nlp.ling.StringLabelFactory
-
- StringList(List<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- StringList(String[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- StringMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
-
- stringMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- StringMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- StringMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- StringNumberValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- StringParsingTask<E> - Class in edu.stanford.nlp.util
-
An instantiation of this abstract class parses a String
and
returns an object of type E
.
- StringParsingTask(String) - Constructor for class edu.stanford.nlp.util.StringParsingTask
-
Constructs a new StringParsingTask
from the specified
String
.
- StringParsingTask.ParserException - Exception in edu.stanford.nlp.util
-
- StringPatternExtractRule(Pattern, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(Env, String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringPatternExtractRule(Env, String, Function<MatchResult, O>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- StringRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- StringSequenceAnnotationPattern(Class, Set<List<String>>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Set<List<String>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Map<List<String>, Object>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- StringSequenceAnnotationPattern(Class, Map<List<String>, Object>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- stringToNewlineIsSentenceBreak(String) - Static method in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- stringToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method converts a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
- stringToProperties(String, Properties) - Static method in class edu.stanford.nlp.util.StringUtils
-
This method updates a Properties object based on
a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
- stringToSet(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- StringUtils - Class in edu.stanford.nlp.util
-
StringUtils is a class for random String things, including output formatting and command line argument parsing.
- stripEmptyNode(Tree) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- stripGF(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- stripGF(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- stripGF(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the category for a String with everything following
the gf character (which may be language specific) stripped.
- stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- stripSGML(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- stripTag(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- stripTags(Reader, List<Integer>, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- stripVerb(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Remove attached pronouns from a strippable Spanish verb form.
- strToFeatures(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
Hand-written rules to convert SAMA analyses to feature structures.
- strToFeatures(String) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- strToFeatures(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- style(StringBuilder, String, Color, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Style a particular String segment, according to a color and style
- Style - Enum in edu.stanford.nlp.util.logging
-
ANSI supported styles (rather, a subset of)
These values are mirrored in Redwood.Util
- styleChannel(String, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Style the tag for a particular channel this style
- subArray(Object[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
-
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- SubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Returns a TreeTransformer that retains categories
according to the following options supported by setOptionFlag:
- subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- subcategoryStripper() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
- subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "subject" grammatical relation.
- SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "subject" (subj) grammatical relation (abstract).
- SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "subject" grammatical relation.
- subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- SUBTRACT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- subtractAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the counts in the given Counter from the counts in this Counter.
- subtractAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- subtractAll(TwoDimensionalCounterInterface<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- subtractAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- subtractAll(TwoDimensionalIntCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- subtractInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]-arg[k] for all keys k in target.
- subtractInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of double[] target to be
target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
- subTreeList() - Method in class edu.stanford.nlp.trees.Tree
-
Get the list of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees() - Method in class edu.stanford.nlp.trees.Tree
-
Get the set of all subtrees inside the tree by returning a tree
rooted at each node.
- subTrees(T) - Method in class edu.stanford.nlp.trees.Tree
-
Add the set of all subtrees inside a tree (including the tree itself)
to the given Collection
.
- sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the sum of an array of numbers.
- sum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns the sum of the portion of an array of numbers between
fromIndex
, inclusive, and toIndex
, exclusive.
- sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sum - Variable in class edu.stanford.nlp.maxent.Feature
-
- SUM - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- sumEntries(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- sumInnerCounter() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Returns the counters with keys as the first key and count as the
total count of the inner counter for that key
- sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- sumSquares(C) - Static method in class edu.stanford.nlp.stats.Counters
-
Return the sum of squares (squared L2 norm).
- SunJurafskyChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
A headfinder for Chinese based on rules described in Sun/Jurafsky NAACL '04.
- SunJurafskyChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
-
- SunJurafskyChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
-
- sunJurafskyHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- supFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- supFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Minimum support of parent annotated node for grandparent to be
studied.
- SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Minimum support of parent annotated node for grandparent to be
studied.
- supportsAnsi() - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Specify whether this output handler supports ansi output
- supportsAnsi() - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
- supportsAnsi - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
By default, parsers are assumed to not support dependencies.
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- supportsBasicDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
- supportsGrammaticalStructures() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Whether or not we have typed dependencies for this language.
- suppressBuckDigitConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- suppressBuckPunctConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- suppressMidDotPostprocessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- suppressTerminalDetails - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
-
If set to true, when a terminal or preterminal has as its category
something that is also the word or tag value, the latter are
suppressed.
- suppressTestDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- SurpriseConvergence(String) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
-
- SUTIME_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- switchedFilter(Predicate<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that's either negated or normal as specified.
- symmetricDiff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the symmetric difference of sets s1 and s2 (i.e.
- SynchronizedInterner<T> - Class in edu.stanford.nlp.util.concurrent
-
For interning (canonicalizing) things in a multi-threaded environment.
- SynchronizedInterner(Interner<T>) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- SynchronizedInterner(Interner<T>, Object) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- tab - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The tab character
- tag - Variable in class edu.stanford.nlp.ling.CategoryWordTag
-
- tag() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- tag() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the tag value of the label (or null if none).
- tag() - Method in interface edu.stanford.nlp.ling.HasTag
-
Return the tag value of the label (or null if none).
- tag() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- tag() - Method in class edu.stanford.nlp.ling.LabeledWord
-
- tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag
-
- Tag(String, String, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- tag() - Method in class edu.stanford.nlp.ling.TaggedWord
-
- tag() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- tag() - Method in class edu.stanford.nlp.ling.WordTag
-
- tag - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- tag() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- TAG_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TAG_INSIDE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TAG_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
-
- TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
-
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
Tag separator to use by default
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TAG_SEPARATOR_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- tagAndOutputSentence(List<? extends HasWord>, boolean, Morphology, PlainTextDocumentReaderAndWriter.OutputStyle, boolean, int, String, Writer) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagBin - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Converts a tag (coded as an integer via a Numberer) from its
representation in the full tag space to the reduced (projected) tag
space used in the DependencyGrammar.
- tagCoreLabels(List<CoreLabel>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
- tagCoreLabels(List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
- tagCoreLabelsOrHasWords(List<? extends HasWord>, Morphology, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- tagFromXML(InputStream, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Uses an XML transformer to turn an input stream into a bunch of
output.
- tagFromXML(Reader, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- TaggedFileReader - Interface in edu.stanford.nlp.tagger.io
-
- TaggedFileRecord - Class in edu.stanford.nlp.tagger.io
-
Parses and specifies all the details for how to read some POS tagging data.
- TaggedFileRecord.Format - Enum in edu.stanford.nlp.tagger.io
-
- taggedFiles - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
A set of files to use as extra information in the lexicon.
- taggedLabeledYield() - Method in class edu.stanford.nlp.trees.Tree
-
- taggedLeafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the labels of the leaves in a Tree, augmented with POS tags.
- taggedStringFromTree(Tree, boolean, String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
Converts a parse tree into a string of tokens.
- TaggedWord - Class in edu.stanford.nlp.ling
-
A TaggedWord
object contains a word and its tag.
- TaggedWord() - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(String, String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
-
Create a new TaggedWord
.
- TaggedWordFactory - Class in edu.stanford.nlp.ling
-
A TaggedWordFactory
acts as a factory for creating objects of
class TaggedWord
.
- TaggedWordFactory() - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWordFactory
.
- TaggedWordFactory(char) - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
-
Create a new TaggedWordFactory
.
- taggedYield() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the tagged yield of the tree.
- taggedYield(X) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the tagged yield of the tree -- that is, get the preterminals
as well as the terminals.
- Tagger - Class in edu.stanford.nlp.tagger.common
-
This module includes constants that are the same for all taggers,
as opposed to being part of their configurations.
- Tagger() - Constructor for class edu.stanford.nlp.tagger.common.Tagger
-
- TAGGER_HOME - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- TaggerConfig - Class in edu.stanford.nlp.tagger.maxent
-
Reads and stores configuration information for a POS tagger.
- TaggerConfig(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
We force you to pass in a TaggerConfig rather than any other
superclass so that we know the arg error checking has already occurred
- TaggerConfig(String...) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TaggerConfig(Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TaggerConfig.Mode - Enum in edu.stanford.nlp.tagger.maxent
-
- TaggerExperiments - Class in edu.stanford.nlp.tagger.maxent
-
This class represents the training samples.
- TaggerExperiments(TaggerConfig, MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
This method gets feature statistics from a training file found in the TaggerConfig.
- TaggerFeature - Class in edu.stanford.nlp.tagger.maxent
-
Holds a Tagger Feature for the loglinear model.
- TaggerFeature(int, int, FeatureKey, int, TaggerExperiments) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
-
- TaggerFeatures - Class in edu.stanford.nlp.tagger.maxent
-
This class contains POS tagger specific features.
- taggerSerializedFile - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
POS tagger model used when preTag is enabled.
- tagId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tagITWList - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
The indices of this list are in the tag binned space.
- TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
-
- tagPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Parent annotation on tags.
- tagProjection - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- TagProjection - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for projecting POS tags onto a reduced
set for the dependency grammar.
- tagRBGPA - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Grand parent annotate RB to try to distinguish sentential ones and
ones in places like NP post modifier (things like 'very' are already
distinguished as their parent is ADJP).
- Tags - Class in edu.stanford.nlp.ling.tokensregex.types
-
Tags that can be added to values or annotations
- Tags(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- tags - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Set of all tags as IntTaggedWord.
- Tags.TagsAnnotation - Class in edu.stanford.nlp.ling.tokensregex.types
-
- TAGS_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TagsAnnotation() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags.TagsAnnotation
-
- tagSelectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSelectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSelectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Do parent annotation on tags selectively.
- tagSelectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- tagSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
- tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
- tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
Tags the sentence s by running maxent model.
- tagSeparator - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet(Function<String, String>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- tagSet() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
Return the Set of tags used by this tagger (available after training the tagger).
- tagSet - Variable in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- tagString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- tagString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the input string and returns the tagged version.
- tagTokenizedString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Tags the tokenized input string and returns the tagged version.
- tagWordSize - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Annotate tags for number of characters contained.
- tail(File, int, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
A Java implementation of the Unix tail functionality.
- tail(File, int) - Static method in class edu.stanford.nlp.io.IOUtils
-
- take(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a shortened view of an iterator.
- take(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a shortened view of an iterator.
- tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyLeaf(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyLocalTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyPreTerminal(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tallyTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyTreeIterator(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- tallyTrees(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- TemplateHash - Class in edu.stanford.nlp.tagger.maxent
-
- TemplateHash(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- TEMPORAL_9 - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ACL03PCFG - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_AND_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_EVEN_UNDER_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_NP_PP_ADVP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ALL_TERMINALS - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_ANY_TMP_PERCOLATED - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "temporal modifier" grammatical relation.
- TEMPORAL_NONE - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- TEMPORAL_NP_AND_PP_WITH_NP_HEAD - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
- terminateOnAverageImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnAvgImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnEvalImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnEvalImprovementNumOfEpoch - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- terminateOnMaxItr(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnNumericalZero(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- terminateOnRelativeNorm(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
-
- test(T) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- test(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
-
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
- test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
-
Doesn't accept nodes that only cover an empty.
- test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
-
- test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
-
- test(Tree) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
-
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
- test(Tree) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
-
- test(String) - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- test(T) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
-
- test(T) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
-
- test(E) - Method in class edu.stanford.nlp.util.Filters.RandomFilter
-
- test(String) - Method in class edu.stanford.nlp.util.RegexStringFilter
-
- TestClassifier - Class in edu.stanford.nlp.tagger.maxent
-
Tags data and can handle either data with gold-standard tags (computing
performance statistics) or unlabeled data.
- TestClassifier(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- TestClassifier(MaxentTagger, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
-
- testDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Number of threads to use at test time.
- testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
You can often return the same thing for testMemoryTreebank as
for memoryTreebank
- testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
returns a MemoryTreebank appropriate to the testing treebank source
- testMemoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a MemoryTreebank appropriate to the testing treebank source
- testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- testOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- testOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Note that the TestOptions is transient.
- TestOptions - Class in edu.stanford.nlp.parser.lexparser
-
Options to the parser which affect performance only at testing (parsing)
time.
- TestOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TestOptions
-
- TestSentence - Class in edu.stanford.nlp.tagger.maxent
-
- TestSentence(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
-
- testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- text - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Text representing the matched expression
- text - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- TEXT_ATTR_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- TEXT_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TEXT_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
-
- textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- textFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TextPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- TextTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TextTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TextTaggedFileReader
-
- textToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- textualSummary() - Method in class edu.stanford.nlp.trees.Treebank
-
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
- textualSummary(TreebankLanguagePack) - Method in class edu.stanford.nlp.trees.Treebank
-
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
- tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- tf - Variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- tfLogScale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter which is the input counter with log tf scaling
- third - Variable in class edu.stanford.nlp.util.Triple
-
- third() - Method in class edu.stanford.nlp.util.Triple
-
- thread - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- thread(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Wrap a collection of threads (Runnables) to be logged by Redwood.
- thread(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(String, Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Thread a collection of runnables, and run them via a java Executor.
- threadAndRun(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threadAndRun(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- threads - Static variable in class edu.stanford.nlp.util.Execution
-
- ThreadsafeProcessor<I,O> - Interface in edu.stanford.nlp.util.concurrent
-
Objects that wish to use MulticoreWrapper for multicore support must implement
this interface.
- tick() - Static method in class edu.stanford.nlp.util.Timing
-
Restart (static) timer.
- tick(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time and restart (static) timer.
- tick(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time to System.err
and restart (static) timer.
- tieOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TIME_WORDS_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- timesstamp - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- timeWordLotRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- timeWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- Timing - Class in edu.stanford.nlp.util
-
A class for measuring how long things take.
- Timing() - Constructor for class edu.stanford.nlp.util.Timing
-
Constructs new Timing object and starts the timer.
- timitDatum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- title() - Method in interface edu.stanford.nlp.ling.Document
-
Returns title of document, or "" if the document has no title.
- tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- tlp - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- tlp - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- tlp - Variable in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- tlp - Variable in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
- tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
The treebank-specific parser parameters to use.
- to2D(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- to2D(double[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- TO_INTERVAL - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- toArray() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- toArray(T[]) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Returns a copy of the current match results.
- toBasicSequenceMatchResult() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- toBiggestValuesFirstString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBiggestValuesFirstString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBiggestValuesFirstString(Counter<Integer>, int, Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toBinaryString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toCompactString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toCompactString(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toComparator(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toComparator(Counter<E>, boolean, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator suitable for sorting this Counter's keys or entries by
their respective value or magnitude (by absolute value).
- toComparatorDescending(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toComparatorWithKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
- toContinue() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
-
This function checks for convergence through first
order optimality, numerical convergence (i.e., zero numerical
gradient), and also by checking the average improvement.
- toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
-
Create a sentence as a List of CoreLabel
objects from
an array (or varargs) of String objects.
- toCoreLabelList(List<? extends HasWord>) - Static method in class edu.stanford.nlp.ling.Sentence
-
Create a sentence as a List of CoreLabel
objects from
a List of other label objects.
- toCounter(double[], Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toCounter(Map<Integer, ? extends Number>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Turns the given map and index into a counter instance.
- toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- toCSVString(NumberFormat) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toCSVString(TwoDimensionalIntCounter<CK1, CK2>, NumberFormat, Comparator<CK1>, Comparator<CK2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toCSVString(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
- toDescendingMagnitudeSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toDotFormat() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns an unnamed dot format digraph.
- toDotFormat(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a dot format digraph with the given name.
- toDotFormat(String, CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toDouble(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Casts to a double array
- toDouble(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Casts to a double array.
- toDoubleArray(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toEnUncollapsedSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Similar to toRecoveredString
, but will fill in words that were
collapsed into relations (i.e.
- toFlatTree(List<HasWord>) - Static method in class edu.stanford.nlp.trees.Trees
-
Turns a sentence into a flat phrasal tree.
- toFlatTree(List<? extends HasWord>, LabelFactory) - Static method in class edu.stanford.nlp.trees.Trees
-
Turns a sentence into a flat phrasal tree.
- toFormattedString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String
representation of this semantic graph,
formatted by the default semantic graph formatter.
- toFormattedString(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String
representation of this semantic graph,
formatted by the supplied semantic graph formatter.
- toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints in the specified order,
Returns null if a does not come before b (invalid interval)
- toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints in the specified order,
using the specified flags.
- toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
- token - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Current token.
- TOKEN_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- TOKEN_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- token_source - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Generated Token Manager.
- TOKEN_STRING_SPLIT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
-
- TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
-
- tokenFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenImage - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
- tokenize() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Returns text as a List of tokens.
- tokenize() - Method in interface edu.stanford.nlp.process.Tokenizer
-
Returns all tokens of this Tokenizer as a List for convenience.
- TOKENIZE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TOKENIZE_AND_SSPLIT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
These are typical combinations of annotators which may be used as
requirements by other annotators.
- TOKENIZE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TOKENIZE_SSPLIT_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TOKENIZE_SSPLIT_PARSE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TOKENIZE_SSPLIT_PARSE_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TOKENIZE_SSPLIT_POS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TOKENIZE_SSPLIT_POS_LEMMA - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- tokenizer - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- Tokenizer<T> - Interface in edu.stanford.nlp.process
-
Tokenizers break up text into individual Objects.
- TOKENIZER_FACTORY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TOKENIZER_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- TokenizerAdapter - Class in edu.stanford.nlp.process
-
This class adapts between a java.io.StreamTokenizer
and a edu.stanford.nlp.process.Tokenizer
.
- TokenizerAdapter(StreamTokenizer) - Constructor for class edu.stanford.nlp.process.TokenizerAdapter
-
Create a new TokenizerAdaptor
.
- TokenizerFactory<T> - Interface in edu.stanford.nlp.process
-
A TokenizerFactory is used to convert a java.io.Reader into a Tokenizer
(an extension of Iterator) over objects of type T represented by the text
in the java.io.Reader.
- tokenizerFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenizerOptions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokenizeText(Reader) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Reads data from r, tokenizes it with the default (Penn Treebank)
tokenizer, and returns a List of Sentence objects, which can
then be fed into tagSentence.
- tokenizeText(Reader, TokenizerFactory<? extends HasWord>) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Reads data from r, tokenizes it with the given tokenizer, and
returns a List of Lists of (extends) HasWord objects, which can then be
fed into tagSentence.
- TokenList(List<CoreLabel>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- TokenList(List<? extends CoreMap>, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- tokenOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Token offsets (relative to original text tokenization)
- TokenPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- TOKENS_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- TOKENS_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- tokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
-
- tokensAnnotationClassName - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- TokenSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
Token Sequence Matcher for regular expressions for sequences over tokens
- TokenSequenceMatcher(SequencePattern, List<? extends CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequenceMatcher
-
- TokenSequenceParseException - Exception in edu.stanford.nlp.ling.tokensregex.parser
-
Created by sonalg on 2/5/15.
- TokenSequenceParseException() - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParseException(String) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParseException
-
- TokenSequenceParser - Class in edu.stanford.nlp.ling.tokensregex.parser
-
- TokenSequenceParser() - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- TokenSequenceParser(InputStream) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with InputStream.
- TokenSequenceParser(InputStream, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with InputStream and supplied encoding
- TokenSequenceParser(Reader) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor.
- TokenSequenceParser(TokenSequenceParserTokenManager) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Constructor with generated Token Manager.
- TokenSequencePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Token Sequence Pattern for regular expressions over sequences of tokens (each represented as a CoreMap
).
- TokenSequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- TokenSequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field(s) on individual tokens to put new annotation
- tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- toLexicalEntry(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String representation of this graph as a list of typed
dependencies, as exemplified by the following:
- toList(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Create a list out of the items in the Iterable.
- toMap() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Cast this multi-graph as a map from vertices, to the outgoing data along edges out of those vertices.
- toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
- toMatrix(List<K1>, List<K2>) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
- toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
- toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- toMatrixString(int) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- toMilliSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
-
Format with one decimal place elapsed milliseconds.
- toNormalizedWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- toOneLineString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a String
representation of this node and
its subtree as a one-line parenthesized list.
- TopicAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
-
- topKeys(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- topKeysWithCounts(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- topLevelKeySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the set of elements that occur in the 0th position of a
List
key in the GeneralizedCounter.
- topologicalSort() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toPOSList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Similar to toList(), but uses POS tags instead of word and index.
- toPrettyString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns a String
representation of this
GrammaticalRelation
and the hierarchy below
it, with one node per line, indented according to level.
- toPrettyString(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a String
representation of this node and
its subtree with one node per line, indented according to
indentLevel
.
- toPrimes() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- toPrimitive(Long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Integer[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Character[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Long[], long) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Integer[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Short[], short) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Character[], char) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPrimitive(Double[], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toPriorityQueue(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a
PriorityQueue
whose elements are
the keys of Counter c, and the score of each key in c becomes its priority.
- toRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Converts a counter to ranks; ranks start from 0
- toRecoveredSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toRecoveredSentenceStringWithIndexMarking() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toRelFlags(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
- toSecondsString() - Method in class edu.stanford.nlp.util.Timing
-
Returns the number of seconds passed since the timer started in the form "d.d".
- toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
-
Format with one decimal place elapsed milliseconds in seconds.
- toSentenceString(ArrayList) - Method in class edu.stanford.nlp.trees.Constituent
-
Print out as a string the subpart of a sentence covered
by this Constituent
.
- toSet(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Create a set out of the items in the Iterable.
- toShorterString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
- toShorterString(String...) - Method in interface edu.stanford.nlp.util.CoreMap
-
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
- toShortString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
- toShortString(char, String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
- toSortedByKeysString(Counter<T>, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, where (key, value) pairs are
sorted by key, and formatted as specified.
- toSortedList(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedList(Counter<E>, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedList() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toSortedList() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- toSortedList() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
- toSortedListKeyComparable(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest.
- toSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted from highest count to lowest, paired with
counts
- toSortedListWithCounts(Counter<E>, Comparator<Pair<E, Double>>) - Static method in class edu.stanford.nlp.stats.Counters
-
A List of the keys in c, sorted by the given comparator, paired with
counts.
- toSortedString(Counter<T>, int, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
- toSortedString(Counter<T>, int, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
- toString() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
values() returns the values in the order in which they are declared.
- toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- toString() - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
- toString() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Returns a String
representation of the label.
- toString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
Returns a String
representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.CoreLabel
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.CoreLabel
-
Returns a formatted string representing this label.
- toString() - Method in class edu.stanford.nlp.ling.IndexedWord
-
Returns the value-tag of this label.
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- toString() - Method in interface edu.stanford.nlp.ling.Label
-
Return a String representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.LabeledWord
-
- toString(String) - Method in class edu.stanford.nlp.ling.LabeledWord
-
- toString() - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- toString() - Method in class edu.stanford.nlp.ling.StringLabel
-
- toString() - Method in class edu.stanford.nlp.ling.TaggedWord
-
- toString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
-
- toString(PhraseTable.WordList) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a String representation of the TokenSequencePattern.
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- toString() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Return a string representation of the label.
- toString() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a String representation of the Label.
- toString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
- toString() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a String representation of the label.
- toString(String) - Method in class edu.stanford.nlp.ling.WordTag
-
- toString(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(byte[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(double[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString(float[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString(String, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- toString() - Method in class edu.stanford.nlp.pipeline.Annotation
-
The basic toString() method of an Annotation simply
prints out the text over which any annotations have
been made (TextAnnotation).
- toString() - Method in class edu.stanford.nlp.pipeline.Annotator.Requirement
-
- toString() - Method in class edu.stanford.nlp.process.Americanize
-
- toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Recursive depth first traversal.
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- toString(SemanticGraph.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a String representation of the result of this set of typed
dependencies in a user-specified format.
- toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- toString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString(boolean, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
- toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- toString() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Print the properties specified by this object.
- toString() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a String representation of the Counter, as formatted by
the underlying Map.
- toString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a string representation which includes no more than the
maxKeysToPrint elements with largest counts.
- toString(Counter<E>, NumberFormat) - Static method in class edu.stanford.nlp.stats.Counters
-
- toString(Counter<E>, NumberFormat, String, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
-
Pretty print a Counter.
- toString(NumberFormat) - Method in class edu.stanford.nlp.stats.Distribution
-
- toString() - Method in class edu.stanford.nlp.stats.Distribution
-
- toString() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- toString(String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- toString() - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString(NumberFormat) - Method in class edu.stanford.nlp.stats.IntCounter
-
- toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
A simple String representation of this TwoDimensionalCounter, which has the
String representation of each key pair on a separate line, followed by the
count for that pair.
- toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
A simple String representation of this TwoDimensionalCounter, which has
the String representation of each key pair
on a separate line, followed by the count for that pair.
- toString() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.History
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- toString() - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- toString() - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- toString() - Method in class edu.stanford.nlp.trees.Constituent
-
Return a string representation of a Constituent
.
- toString(String) - Method in interface edu.stanford.nlp.trees.Dependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns short name (abbreviation) for this
GrammaticalRelation
.
- toString() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
- toString() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- toString() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- toString() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- toString() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.NamedDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.Tree
-
Converts parse tree to string in Penn Treebank format.
- toString() - Method in class edu.stanford.nlp.trees.Treebank
-
Return the whole treebank as a series of big bracketed lists.
- toString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
- toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
-
- toString() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- toString() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- toString(String) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
Provide different printing options via a String keyword.
- toString() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Prints a full dump of a CoreMap.
- toString() - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString(double[], String) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- toString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toString(int) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- toString() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
-
Return status information about the underlying threadpool.
- toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
- toString() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order.
- toString(int) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString(int, String) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.HashIndex
-
Returns a readable version of the Index contents
- toString(int) - Method in class edu.stanford.nlp.util.HashIndex
-
Returns a readable version of at least part of the Index contents.
- toString() - Method in class edu.stanford.nlp.util.IntervalTree
-
- toString() - Method in class edu.stanford.nlp.util.IntTuple
-
- toString(Iterable<E>, String) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a string representation of the contents of calling toString
on each element of the given iterable, joining the elements together
with the given glue.
- toString() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
-
- toString() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- toString(Map<T, V>, String, String, String, String) - Static method in class edu.stanford.nlp.util.Maps
-
Pretty print a Counter.
- toString() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
- toString() - Method in class edu.stanford.nlp.util.MetaClass
-
- toString() - Method in class edu.stanford.nlp.util.MutableDouble
-
- toString() - Method in class edu.stanford.nlp.util.MutableInteger
-
- toString() - Method in class edu.stanford.nlp.util.Pair
-
- toString(int) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
- toString() - Method in class edu.stanford.nlp.util.ScoredObject
-
- toString(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convert a list of labels into a string, by simply joining them with spaces.
- toString(CoreMap) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convert a CoreMap representing a sentence into a string, by simply joining them with spaces.
- toString() - Method in class edu.stanford.nlp.util.Timing
-
- toString() - Method in class edu.stanford.nlp.util.Triple
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
- toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.Tree
-
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder
.
- toStringBuilder(StringBuilder, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder
.
- toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
-
- toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
-
- toStringSorted(Map<K, V>, StringBuilder) - Static method in class edu.stanford.nlp.util.Maps
-
Stringifies a Map in a stable fashion.
- toStringSorted(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
-
Stringifies a Map in a stable fashion.
- toStructureDebugString(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Returns a String reporting what kinds of Tree and Label nodes this
Tree contains.
- toTaggedList(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
-
Create an ArrayList as a list of TaggedWord
from two
lists of String
, one for the words, and the second for
the tags.
- toTaggedWord(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- totalCount() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Computes the total of all counts in this counter, and returns it
as a double.
- totalCount() - Method in interface edu.stanford.nlp.stats.Counter
-
Computes the total of all counts in this counter, and returns it
as a double.
- totalCount() - Method in class edu.stanford.nlp.stats.Distribution
-
- totalCount() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns the total count of objects in the GeneralizedCounter.
- totalCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
Takes linear time.
- totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- totalCount() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- totalCount(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
Takes linear time.
- totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- totalCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- totalDataSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalDoubleCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
- totalFeatureSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- totalIntCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current total count for all objects in this Counter.
- totalIntCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the total count for all objects in this Counter that pass the
given Filter.
- toTiedRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Converts a counter to tied ranks; ranks start from 1
- toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
-
Create an ArrayList as a list of Word
from a
list of String
.
- toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
-
Create a Sentence as a list of Word
objects from
an array of String objects.
- toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints, reordering them as needed
- toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
-
Create an interval with the specified endpoints, reordering them as needed,
using the specified flags
- toVerticalString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int, String) - Static method in class edu.stanford.nlp.stats.Counters
-
- toVerticalString(Counter<E>, int, String, boolean) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a
String
representation of the
k
keys
with the largest counts in the given
Counter
, using the given
format string.
- toVerticalString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- toVerticalString(Map<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- toWordList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
-
- toWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Swap any occurrences of any characters in the from String in the input String with
the corresponding character from the to String.
- trackColor - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The color to use for track beginning and ends
- trackStack - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Information about the current and higher level tracks
- trackStyle - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
The style to use for track beginning and ends
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Trains this lexicon on the Collection of trees.
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Trains this lexicon on the Collection of trees.
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Train this lexicon on the given set of trees.
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
Train this lexicon on the given set of trees.
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
TODO: make this method do something with the weight
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
-
This method should populate wordIndex, tagIndex, and morphIndex.
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Trains this lexicon on the Collection of trees.
- train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(Collection<Tree>, Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
- train(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Not all subclasses support this particular method.
- train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Not all subclasses support this particular method.
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for this particular collection of trees.
- train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a weighted collection of trees.
- train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a single tree.
- train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
-
Tallies statistics for a single word.
- train(Collection<Tree>) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- train(Tree) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- train(List<TaggedWord>) - Method in interface edu.stanford.nlp.process.WordSegmenter
-
- trainDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFileList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainHierarchical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- trainingIterations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If the training algorithm allows for parallelization, how many
threads to use
- trainLengthLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- TrainOptions - Class in edu.stanford.nlp.parser.lexparser
-
Non-language-specific options for training a grammar from a treebank.
- TrainOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- TrainOptions.TransformMatrixType - Enum in edu.stanford.nlp.parser.lexparser
-
- trainTestFoldsForCV(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Split a list into train, test pairs for use in k-fold crossvalidation.
- trainTreeFile - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- trainUnannotated(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
-
Sometimes we might have a sentence of tagged words which we would
like to add to the lexicon, but they weren't part of a binarized,
markovized, or otherwise annotated tree.
- trainWithExpansion(Collection<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- trainWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Do we want a model that uses word vectors (such as the DVParser)
to train those word vectors when training the model?
Note: models prior to 2014-02-13 may have incorrect values in
this field, as it was originally a compile time constant
- transferSigmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- transform(NodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
-
- transform(MultiNodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- transform(NodePatternTransformer<T, T2>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- transform(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the counter with keys modified according to function F.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Return a MemoryTreebank where each
Tree in the current treebank has been transformed using the
TreeTransformer.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Tree
-
Create a transformed Tree.
- transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Create a transformed Tree.
- transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Treebank
-
Return a Treebank (actually a TransformingTreebank) where each
Tree in the current treebank has been transformed using the
TreeTransformer.
- transform(Iterable<K>, Function<? super K, ? extends V>) - Static method in class edu.stanford.nlp.util.Iterables
-
Transformed view of the given iterable.
- transformAsList(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Transforms the keyset of collection according to the given Function and returns a list.
- transformAsSet(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Transforms the keyset of collection according to the given Function and returns a set of the keys.
- TransformingTreebank - Class in edu.stanford.nlp.trees
-
This class wraps another Treebank, and will vend trees that have been through
a TreeTransformer.
- TransformingTreebank() - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank.
- TransformingTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank.
- TransformingTreebank(Treebank, TreeTransformer) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
-
Create a new TransformingTreebank from a base Treebank that will
transform trees with the given TreeTransformer.
- transformMatrixType - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BoundaryRemover
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
transformTree does all language-specific tree
transformations.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
transformTree does all language-specific tree
transformations.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotator
-
Do the category splitting of the tree passed in.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
The tree t is normally expected to be a Penn-Treebank-style tree
in which the top node is an extra node that has a unary expansion.
- transformTree(Tree, Tree) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Binarizes the tree according to options set up in the constructor.
- transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
This method does language-specific tree transformations such as annotating particular nodes with language-relevant
features.
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Transforms t if it contains a coordination in a flat structure (CCtransform)
and transforms UCP (UCPtransform).
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.DateTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
-
Right now (Jan 2013) we only deal with the following QP structures:
NP (QP ...) (QP (CC and/or) ...)
QP (RB IN CD|DT ...) well over, more than
QP (JJR IN CD|DT ...) fewer than
QP (IN JJS CD|DT ...) at least
QP (...
- transformTree(Tree) - Method in class edu.stanford.nlp.trees.TreeLeafLabelTransformer
-
- transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
-
Does whatever one needs to do to a particular tree.
- transformTreeHelper(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- transformValues() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
This is a specialized procedure to change the values
of parses for semantic ranking.
- transformValuesInPlace(Counter<E>, Function<Double, Double>) - Static method in class edu.stanford.nlp.stats.Counters
-
- transformWithValuesAdd(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the counter with keys modified according to function F.
- TransformXML<T> - Class in edu.stanford.nlp.process
-
Reads XML from an input file or stream and writes XML to an output
file or stream, while transforming text appearing inside specified
XML tags by applying a specified Function
.
- TransformXML() - Constructor for class edu.stanford.nlp.process.TransformXML
-
- transformXML(String[], Function<String, T>, File) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from the specified file and write XML to stdout,
while transforming text appearing inside the specified XML
tags by applying the specified Function
.
- transformXML(String[], Function<String, T>, File, File) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from the specified file and write XML to specified file,
while transforming text appearing inside the specified XML tags
by applying the specified Function
.
- transformXML(String[], Function<String, T>, InputStream) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to stdout, while
transforming text appearing inside the specified XML tags by
applying the specified Function
.
- transformXML(String[], Function<String, T>, InputStream, OutputStream) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified Function
.
- transformXML(String[], Function<String, T>, InputStream, Writer) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified Function
.
- transformXML(String[], Function<String, T>, InputStream, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Calls the fully specified transformXML with an InputSource
constructed from in
.
- transformXML(String[], Function<String, T>, Reader, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Calls the fully specified transformXML with an InputSource
constructed from in
.
- transformXML(String[], Function<String, T>, InputSource, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
-
Read XML from input source and write XML to output writer,
while transforming text appearing inside the specified XML tags
by applying the specified Function
.
- TransformXML.NoEscapingSAXInterface<T> - Class in edu.stanford.nlp.process
-
This version of the SAXInterface doesn't escape the text produced
by the function.
- TransformXML.SAXInterface<T> - Class in edu.stanford.nlp.process
-
- transitionEdgeOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Attempt to locate head daughter tree from among daughters.
- Tree - Class in edu.stanford.nlp.trees
-
The abstract class Tree
is used to collect all of the
tree types, and acts as a generic extendable type.
- Tree() - Constructor for class edu.stanford.nlp.trees.Tree
-
- TREE_FILTER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_NORMALIZER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_RANGE - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_READER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
-
- TREE_TRANSFORMER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- TreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
-
- TreeAnnotator - Class in edu.stanford.nlp.parser.lexparser
-
Performs non-language specific annotation of Trees.
- TreeAnnotator(HeadFinder, TreebankLangParserParams, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotator
-
- TreeAnnotatorAndBinarizer - Class in edu.stanford.nlp.parser.lexparser
-
- TreeAnnotatorAndBinarizer(TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- TreeAnnotatorAndBinarizer(HeadFinder, HeadFinder, TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- treebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Implemented as required by TreebankFactory.
- treebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Required to extend TreebankFactory
- Treebank - Class in edu.stanford.nlp.trees
-
A Treebank
object provides access to a corpus of examples with
given tree structures.
- Treebank() - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank (using a LabeledScoredTreeReaderFactory).
- Treebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(int) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- Treebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
-
Create a new Treebank.
- treebank() - Method in interface edu.stanford.nlp.trees.TreebankFactory
-
Returns a treebank instance
- TreebankAnnotator - Class in edu.stanford.nlp.parser.lexparser
-
Class for getting an annotated treebank.
- TreebankAnnotator(Options, String) - Constructor for class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- TreebankFactory - Interface in edu.stanford.nlp.trees
-
An interface for treebank vendors.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- treebankFileExtension() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the extension of treebank files for this treebank.
- TreebankLangParserParams - Interface in edu.stanford.nlp.parser.lexparser
-
Contains language-specific methods necessary to get the parser to parse
an arbitrary treebank.
- treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns an appropriate treebankLanguagePack
- treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
contains Treebank-specific (but not parser-specific) info such
as what is punctuation, and also information about the structure
of labels
- treebankLanguagePack() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a TreebankLanguagePack containing Treebank-specific (but
not parser-specific) info such as what is punctuation, and also
information about the structure of labels
- TreebankLanguagePack - Interface in edu.stanford.nlp.trees
-
This interface specifies language/treebank specific information for a
Treebank, which a parser or other treebank user might need to know.
- TreeBinarizer - Class in edu.stanford.nlp.parser.lexparser
-
Binarizes trees in such a way that head-argument structure is respected.
- TreeBinarizer(HeadFinder, TreebankLanguagePack, boolean, boolean, int, boolean, boolean, double, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeBinarizer
-
Build a custom binarizer for Trees.
- TreeCollinizer - Class in edu.stanford.nlp.parser.lexparser
-
Does detransformations to a parsed sentence to map it back to the
standard treebank form for output or evaluation.
- TreeCollinizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCollinizer(TreebankLanguagePack, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCollinizer(TreebankLanguagePack, boolean, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
-
- TreeCoreAnnotations - Class in edu.stanford.nlp.trees
-
Set of common annotations for
CoreMap
s
that require classes from the trees package.
- TreeCoreAnnotations.BinarizedTreeAnnotation - Class in edu.stanford.nlp.trees
-
The CoreMap key for getting the binarized version of the
syntactic parse tree of a sentence.
- TreeCoreAnnotations.HeadTagLabelAnnotation - Class in edu.stanford.nlp.trees
-
The standard key for storing a head tag in the map as a pointer to
the head label.
- TreeCoreAnnotations.HeadWordLabelAnnotation - Class in edu.stanford.nlp.trees
-
The standard key for storing a head word in the map as a pointer to
the head label.
- TreeCoreAnnotations.TreeAnnotation - Class in edu.stanford.nlp.trees
-
The CoreMap key for getting the syntactic parse tree of a sentence.
- treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Return a TreeFactory
that produces trees of the
same type as the current Tree
.
- treeFactory() - Method in class edu.stanford.nlp.trees.SimpleTree
-
Return a TreeFactory
that produces trees of the
SimpleTree
type.
- treeFactory() - Method in class edu.stanford.nlp.trees.Tree
-
Return a TreeFactory
that produces trees of the
appropriate type.
- TreeFactory - Interface in edu.stanford.nlp.trees
-
A TreeFactory
acts as a factory for creating objects of
class Tree
, or some descendant class.
- treeFactory() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns a TreeFactory
that produces
TreeGraphNode
s.
- TreeFunctions - Class in edu.stanford.nlp.trees
-
This is a utility class which vends tree transformers to translate
trees from one factory type to trees of another.
- TreeGraphNode - Class in edu.stanford.nlp.trees
-
A
TreeGraphNode
is simply a
Tree
with some additional functionality.
- TreeGraphNode(Label) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
with the supplied
label.
- TreeGraphNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
with the supplied
label and list of child nodes.
- TreeGraphNode(Tree, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
-
Create a new TreeGraphNode
having the same tree
structure and label values as an existing tree (but no shared
storage).
- TreeGraphNodeFactory - Class in edu.stanford.nlp.trees
-
A TreeGraphNodeFactory
acts as a factory for creating
nodes in a TreeGraph
.
- TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
Make a TreeFactory
that produces
TreeGraphNode
s.
- TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
-
- TreeLeafLabelTransformer - Class in edu.stanford.nlp.trees
-
Applies a Function to the labels in a tree.
- TreeLeafLabelTransformer(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.TreeLeafLabelTransformer
-
- treeMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- treeMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns a TreeMap.
- treeMapFactory(Comparator<? super K>) - Static method in class edu.stanford.nlp.util.MapFactory
-
Return a MapFactory that returns a TreeMap with the given Comparator.
- TreeNode() - Constructor for class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- TreeNormalizer - Class in edu.stanford.nlp.trees
-
A class for tree normalization.
- TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
-
- treePrint(TreebankLangParserParams) - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Determines method for print trees on output.
- TreePrint - Class in edu.stanford.nlp.trees
-
A class for customizing the print method(s) for a
edu.stanford.nlp.trees.Tree
as the output of the
parser.
- TreePrint(String) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Construct a new TreePrint that will print the given formats.
- TreePrint(String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance with no options specified.
- TreePrint(String, String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance.
- TreePrint(String, String, TreebankLanguagePack, HeadFinder, HeadFinder) - Constructor for class edu.stanford.nlp.trees.TreePrint
-
Make a TreePrint instance.
- TreeReader - Interface in edu.stanford.nlp.trees
-
A TreeReader
adds functionality to another Reader
by reading in Trees, or some descendant class.
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Makes appropriate TreeReaderFactory with all options specified
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- treeReaderFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns a factory for reading in trees from the source you want.
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- treeReaderFactory() - Method in class edu.stanford.nlp.trees.Treebank
-
Get the TreeReaderFactory
for a Treebank
--
this method is provided in order to make the
TreeReaderFactory
available to subclasses.
- treeReaderFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
- TreeReaderFactory - Interface in edu.stanford.nlp.trees
-
A TreeReaderFactory
is a factory for creating objects of
class TreeReader
, or some descendant class.
- Trees - Class in edu.stanford.nlp.trees
-
Various static utilities for the Tree
class.
- treeSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
-
- TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
-
- treeSkeletonConstituentCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a deep copy of everything but the leaf labels.
- treeSkeletonConstituentCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
-
- treeSkeletonCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Create a deep copy of the tree structure.
- treeSkeletonCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Create a deep copy of the tree structure.
- TreeTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TreeTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
-
- treeToDependencyHelper(Tree, List<IntDependency>, int, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Adds dependencies to list depList.
- treeToDependencyList(Tree, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Returns the List of dependencies for a binarized Tree.
- treeToEvents(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- treeTokenizerFactory() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- treeTokenizerFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- treeTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return a TokenizerFactory for Trees of this language/treebank.
- treeTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return a TokenizerFactory for Trees of this language/treebank.
- TreeTokenizerFactory - Class in edu.stanford.nlp.trees
-
Wrapper for TreeReaderFactory.
- TreeTokenizerFactory(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TreeTokenizerFactory
-
Create a TreeTokenizerFactory from a TreeReaderFactory.
- treeToLatex(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- treeToLatexEven(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
- TreeTransformer - Interface in edu.stanford.nlp.trees
-
This is a simple interface for a function that alters a
local Tree
.
- TreeVisitor - Interface in edu.stanford.nlp.trees
-
This is a simple strategy-type interface for operations that are applied to
Tree
.
- TregexMatcher - Class in edu.stanford.nlp.trees.tregex
-
- TregexParseException - Exception in edu.stanford.nlp.trees.tregex
-
A runtime exception that indicates something went wrong parsing a
tregex expression.
- TregexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.TregexParseException
-
- TregexPattern - Class in edu.stanford.nlp.trees.tregex
-
A TregexPattern is a tgrep
-type pattern for matching tree
node configurations.
- TregexPattern.TRegexTreeReaderFactory - Class in edu.stanford.nlp.trees.tregex
-
- TregexPatternCompiler - Class in edu.stanford.nlp.trees.tregex
-
A class for compiling TregexPatterns with specific HeadFinders and or
basicCategoryFunctions.
- TregexPatternCompiler() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
- TregexPatternCompiler(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this basicCatFunction and the default HeadFinder.
- TregexPatternCompiler(HeadFinder) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this HeadFinder and the default basicCategoryFunction
- TregexPatternCompiler(HeadFinder, Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
A compiler that uses this HeadFinder and this basicCategoryFunction
- TregexPoweredTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
- TregexPoweredTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
- TregexPoweredTreebankParserParams.AnnotateHeadFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotate a tree constituent with its lexical head.
- TregexPoweredTreebankParserParams.SimpleStringFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotates all nodes that match the tregex query with some string.
- TRegexTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- TRegexTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
-
- trim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
- trim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
- Triple<T1,T2,T3> - Class in edu.stanford.nlp.util
-
Class representing an ordered triple of objects, possibly typed.
- Triple(T1, T2, T3) - Constructor for class edu.stanford.nlp.util.Triple
-
- TRUE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TRUECASE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
- TrueCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
-
- TrueCaseTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
-
- TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
-
- truncate(int, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
This returns a string from decimal digit smallestDigit to decimal digit
biggest digit.
- Tsurgeon - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Tsurgeon provides a way of editing trees based on a set of operations that
are applied to tree locations matching a tregex pattern.
- TsurgeonMatcher - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
An object factored out to keep the state of a Tsurgeon
operation separate from the TsurgeonPattern
objects.
- TsurgeonMatcher(TsurgeonPattern, Map<String, Tree>, CoindexationGenerator) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
-
- TsurgeonParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
A runtime exception that indicates something went wrong parsing a
Tsurgeon expression.
- TsurgeonParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
-
- TsurgeonParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
-
- TsurgeonParserTreeConstants - Interface in edu.stanford.nlp.trees.tregex.tsurgeon
-
- TsurgeonPattern - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
An abstract class for patterns to manipulate
Tree
s when
successfully matched on with a
TregexMatcher
.
- TsurgeonRuntimeException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
-
Something has gone wrong internally in Tsurgeon
- TsurgeonRuntimeException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonRuntimeException
-
Creates a new exception with a message.
- TSVTaggedFileReader - Class in edu.stanford.nlp.tagger.io
-
- TSVTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
-
- TTags - Class in edu.stanford.nlp.tagger.maxent
-
This class holds the POS tags, assigns them unique ids, and knows which tags
are open versus closed class.
- TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
-
- tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
Default is no-op.
- tune() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
TODO: this used to actually score things based on the original trees
- tune(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
Tune free parameters on these trees.
- tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Tune the smoothing and interpolation parameters of the dependency
grammar based on a tuning treebank.
- tuneSampleSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- tuneSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TwoDimensionalCollectionValuedMap<K1,K2,V> - Class in edu.stanford.nlp.util
-
A class which can store mappings from Object keys to Collection
s of Object values.
- TwoDimensionalCollectionValuedMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
- TwoDimensionalCollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map.
- TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap.
- TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Creates a new empty TwoDimensionalCollectionValuedMap.
- TwoDimensionalCounter<K1,K2> - Class in edu.stanford.nlp.stats
-
A class representing a mapping between pairs of typed objects and double
values.
- TwoDimensionalCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>>, MapFactory<K2, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- TwoDimensionalCounterInterface<K1,K2> - Interface in edu.stanford.nlp.stats
-
Interface representing a mapping between pairs of typed objects and double
values.
- TwoDimensionalIntCounter<K1,K2> - Class in edu.stanford.nlp.stats
-
A class representing a mapping between pairs of typed objects and int values.
- TwoDimensionalIntCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>, int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- TwoDimensionalMap<K1,K2,V> - Class in edu.stanford.nlp.util
-
- TwoDimensionalMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap(TwoDimensionalMap<K1, K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap(MapFactory<K1, Map<K2, V>>, MapFactory<K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
-
- TwoDimensionalMap.Entry<K1,K2,V> - Class in edu.stanford.nlp.util
-
This inner class represents a single entry in the TwoDimensionalMap.
- twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- TYPE_ANNOTATION_KEY - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_BOOLEAN - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_CLASS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
CLASS - Maps to a Java class
- TYPE_COMPOSITE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
COMPOSITE - Composite value with field names and field values
- TYPE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
FUNCTION - (input) => (output) where input is a list of Values, and output is a single Value
- TYPE_LIST - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
LIST - List
- TYPE_NUMBER - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
NUMBER - Numeric value (can be integer or real)
- TYPE_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
REGEX - Regular expression pattern (for tokens or string)
- TYPE_REGEXMATCHVAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
REGEXMATCHVAR - Variable that refers to variable resulting from a regex match or used in a regex match (starts with $)
- TYPE_SET - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_STRING - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
STRING - String
- TYPE_STRING_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_TOKEN_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_TOKENS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- TYPE_VAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
VAR - Variable
- TypeCheckedFunction(String, List<ValueFunctions.ParamInfo>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- TypeCheckedFunction(String, ValueFunctions.ParamInfo...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- typedDependencies() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of TypedDependency in the graph.
- typedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- typedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns the typed dependencies of this grammatical structure.
- typedDependencies(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns the typed dependencies of this grammatical structure.
- typedDependencies(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCCprocessed(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them and processing eventual
CC complements.
- typedDependenciesCCprocessed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCCprocessed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get a list of the typed dependencies, including extras like control
dependencies, collapsing them and distributing relations across
coordination.
- typedDependenciesCollapsed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them.
- typedDependenciesCollapsed(GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after collapsing them.
- typedDependenciesCollapsed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Deprecated.
- typedDependenciesCollapsedTree() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get the typed dependencies after mostly collapsing them, but keep a tree
structure.
- TypedDependency - Class in edu.stanford.nlp.trees
-
A TypedDependency
is a relation between two words in a
GrammaticalStructure
.
- TypedDependency(GrammaticalRelation, IndexedWord, IndexedWord) - Constructor for class edu.stanford.nlp.trees.TypedDependency
-
- TypedDependency(TypedDependency) - Constructor for class edu.stanford.nlp.trees.TypedDependency
-
- typedDependencyClasser() - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns an EquivalenceClasser that classes typed dependencies
by the syntactic categories of mother, head and daughter,
plus direction.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
The HeadFinder to use when extracting typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
The HeadFinder to use when making typed dependencies.
- typedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns a collection of word-word dependencies typed by mother, head, daughter node syntactic categories.
- TypedExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- typeEquals(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- typeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- TypesafeMap - Interface in edu.stanford.nlp.util
-
Type signature for a class that supports the basic operations required
of a typesafe heterogeneous map.
- TypesafeMap.Key<VALUE> - Interface in edu.stanford.nlp.util
-
Base type of keys for the map.
- valenceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- value() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return a String representation of just the "main" value of this label.
- value() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- value() - Method in interface edu.stanford.nlp.ling.Label
-
Return a String representation of just the "main" value of this label.
- value() - Method in class edu.stanford.nlp.ling.StringLabel
-
Return the word value of the label (or null if none).
- value - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- value - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
-
- value() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
- Value<T> - Interface in edu.stanford.nlp.ling.tokensregex.types
-
An expression that has been evaluated to a Java object of type T.
- value() - Method in class edu.stanford.nlp.ling.ValueLabel
-
Return the value of the label (or null if none).
- value() - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Return a String representation of just the "main" value of this Label.
- value() - Method in class edu.stanford.nlp.ling.WordTag
-
Return a String representation of just the "main" value of this label.
- value() - Method in class edu.stanford.nlp.trees.Constituent
-
Return the value of the label (or null if none).
- value() - Method in class edu.stanford.nlp.trees.Tree
-
- ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
-
- valueAt(float[]) - Method in interface edu.stanford.nlp.optimization.FloatFunction
-
Returns the value of the function at a single point.
- valueAt(double[]) - Method in interface edu.stanford.nlp.optimization.Function
-
Returns the value of the function at a single point.
- ValuedInterval<T,E extends java.lang.Comparable<E>> - Class in edu.stanford.nlp.util
-
Interval with value
- ValuedInterval(T, Interval<E>) - Constructor for class edu.stanford.nlp.util.ValuedInterval
-
- ValueExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- valueExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- ValueFunction - Interface in edu.stanford.nlp.ling.tokensregex.types
-
A function that takes as input an environment (Env) and a list of values
(List<Value>
) and returns a Value.
- ValueFunctions - Class in edu.stanford.nlp.ling.tokensregex.types
-
ValueFunctions supported by tokensregex.
- ValueFunctions.BooleanFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.ComparableComparator<T extends java.lang.Comparable<T>> - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.CompareFunction<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.CompareType - Enum in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NamedValueFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NumericComparator - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.NumericFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.ParamInfo - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.StringFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- ValueFunctions.TypeCheckedFunction - Class in edu.stanford.nlp.ling.tokensregex.types
-
- valueIterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- ValueLabel - Class in edu.stanford.nlp.ling
-
A ValueLabel
object acts as a Label with linguistic
attributes.
- ValueLabel() - Constructor for class edu.stanford.nlp.ling.ValueLabel
-
- valueOf(String) - Static method in enum edu.stanford.nlp.international.Language
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
-
Returns the enum constant of this type with the specified name.
- valueOf(Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- valueOf(Env, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Pattern) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(Env, Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.ling.WordTag
-
- valueOf(String, String) - Static method in class edu.stanford.nlp.ling.WordTag
-
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Tries to parse a String representing a SemanticGraph.
- valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.sequences.SeqClassifierFlags.SlashHyphenEnum
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Returns the EnglishGrammaticalRelation having the given string
representation (e.g.
- valueOf(Object) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
Returns an EnglishGrammaticalRelation based on the argument.
- valueOf(String, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Returns the GrammaticalRelation having the given string
representation (e.g.
- valueOf(Language, String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Convert from a String representation of a GrammaticalRelation to a
GrammaticalRelation.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- valueOf(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- valueOf(String) - Static method in class edu.stanford.nlp.trees.Tree
-
This gives you a tree from a String representation (as a
bracketed Tree, of the kind produced by toString()
,
pennPrint()
, or as in the Penn Treebank).
- valueOf(String, TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.Tree
-
This gives you a tree from a String representation (as a
bracketed Tree, of the kind produced by toString()
,
pennPrint()
, or as in the Penn Treebank.
- valueOf(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Returns the EnglishGrammaticalRelation having the given string
representation (e.g., "nsubj"), or null if no such is found.
- valueOf(Object) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
Returns an EnglishGrammaticalRelation based on the argument.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.Interval.RelType
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Color
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Style
-
Returns the enum constant of this type with the specified name.
- valueOfIgnoreComments(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the Counter over Strings specified by this String.
- ValuePatternExpr(SequencePattern.PatternExpr, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- values() - Static method in enum edu.stanford.nlp.international.Language
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class edu.stanford.nlp.maxent.Experiments
-
The value of classification y for x.
- values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.sequences.SeqClassifierFlags.SlashHyphenEnum
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a copy of the values currently in this counter.
- values() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a copy of the values currently in this counter.
- values() - Method in class edu.stanford.nlp.stats.IntCounter
-
- values() - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- values(boolean) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- values() - Static method in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
- values() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- values(boolean) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- values() - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- values() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- values() - Static method in enum edu.stanford.nlp.util.Interval.RelType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Color
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum edu.stanford.nlp.util.logging.Style
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- values() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- valuesLock - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- valuesLock() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- valueSplit(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Split a string into tokens.
- VAR_SELF - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- VarAssignmentExpression(String, Expression, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- VarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
-
- variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- VarOrRegexVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- vArray - Variable in class edu.stanford.nlp.maxent.Experiments
-
vArray has dimensions [numTrainingDatums][2] and holds the x and y (word and tag index) for each training sample.
- VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "coordinated verb compound" grammatical relation.
- VERBAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "verb modifier" grammatical relation.
- verbose - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Print a lot of extra output as you parse.
- VERBOSE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- VERBOSE - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- VERBOSE_RESULTS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- verboseMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
-
- verbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- vertexListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
This returns an ordered list of vertices (based upon their
indices in the sentence).
- vertexSet() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- VERY_COMMON_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- VisibilityHandler - Class in edu.stanford.nlp.util.logging
-
A filter for selecting which channels are visible.
- VisibilityHandler() - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
-
- VisibilityHandler(Object[]) - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
-
- visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Does whatever one needs to do to a particular parse tree
- visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Does whatever one needs to do to a particular parse tree
- visitTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeVisitor
-
Does whatever one needs to do to a particular parse tree.
- visitTree(Tree) - Method in class edu.stanford.nlp.trees.WordStemmer
-
- ViterbiParser - Interface in edu.stanford.nlp.parser
-
The interface for Viterbi parsers.
- ViterbiParserWithOptions - Interface in edu.stanford.nlp.parser
-
The interface for Viterbi parsers with options.
- vocabFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- vpSubCat - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Pitiful attempt at marking V* preterms with their surface subcat
frames.