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AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
abbreviation - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
 
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization
A differentiable function that caches the last evaluation of its value and derivative.
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees
A base class for a HeadFinder similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Construct a HeadFinder.
AbstractCoreLabel - Interface in edu.stanford.nlp.ling
 
AbstractCounter<E> - Class in edu.stanford.nlp.stats
Default implementations of all the convenience methods provided by Counter.
AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
 
AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
AbstractEval - Class in edu.stanford.nlp.parser.metrics
A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics
This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
 
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics
This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractIterator<E> - Class in edu.stanford.nlp.util
Iterator with remove() defined to throw an UnsupportedOperationException.
AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
 
AbstractLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Shared methods for training a LinearClassifier.
AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
 
AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
 
AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization
Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
AbstractToken - Interface in edu.stanford.nlp.ling
An abstract token.
AbstractTokenizer<T> - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
 
AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees
This provides an implementation of parts of the TreebankLanguagePack API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
An abstract class providing a common method base from which to complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser
Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser
An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Checks whether a file satisfies the selection filter.
ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
 
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter
Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
Checks whether a file satisfies the number range selection filter.
accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
Checks whether a String satisfies the number range selection filter.
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
The acceptFilter accepts everything.
accuracy(Iterator<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
 
AccuracyStats<L> - Class in edu.stanford.nlp.stats
Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
 
AccuracyStats(L, String) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
 
acos(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute acos very quickly by directly looking up the value.
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
 
AdaptedGaussianPriorObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) - Constructor for class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
adaptWeights(double[][], GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Adapt classifier (adjust the mean of Gaussian prior).
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.Dataset
 
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.Dataset
 
add(Collection<F>, L, boolean) - Method in class edu.stanford.nlp.classify.Dataset
 
add(int[], int) - Method in class edu.stanford.nlp.classify.Dataset
Adds a datums defined by feature indices and label index Careful with this one! Make sure that all indices are valid!
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.RVFDataset
 
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Datum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Collection<F>, L, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(RVFDatum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
Add a datum, with a given weight.
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
adds vertices (if not already in the graph) and the edge between them
add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
Adds vertices (if not already in the graph) and the edge between them.
add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Adds an Object to the underlying Collection of input sources.
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
increments every key in the counter by value
add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
add(E) - Method in class edu.stanford.nlp.util.ArraySet
Adds element to set.
add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Adds an object to the queue with the minimum priority (Double.NEGATIVE_INFINITY).
add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Adds a key to the queue with the given priority.
add(E) - Method in class edu.stanford.nlp.util.HashIndex
Adds an object to the Index.
add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet
Adds the specified element to this set if it is not already present.
add(E) - Method in interface edu.stanford.nlp.util.Index
 
add(int) - Method in class edu.stanford.nlp.util.IntUni
 
add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Adds all Datums in the given collection of data to this dataset
addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Adds all Objects in Collection c to the underlying Collection of input sources.
addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Not yet implemented.
addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Not yet implemented.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter
Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Add all the items from an iterable to a collection.
addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex
Adds every member of Collection to the Index.
addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
 
addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps
Adds all of the keys in from to to, applying function to the values to transform them from V2 to V1.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Adds all of the entries in the other map, performing function on them to transform the values
addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Adds the tree t at the index position among the daughters.
addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree
Adds the tree t at the last index position among the daughters.
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Adds a child in the ith location.
addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Store a comment line with this semantic graph.
addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively applies different enhancements to the dependency graph.
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Enable an annotation feature.
addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
 
addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
 
addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
 
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
 
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
 
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in the first array a by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in this array by b.
addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
Add the two 2d arrays and write the answer in place of m1.
addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+scale*arg[k] for all keys k in target.
addInPlace(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 arg.
addInPlace(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
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale * arg[u,v].
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+ value*(num-of-times-it-occurs-in-collection) if the key is present in the arg collection.
addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+ num-of-times-it-occurs-in-collection if the key is present in the arg collection.
addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Increments all keys in a Counter by a specific value.
addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
 
addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Just add the key (empty collection, but key is in the keySet).
addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
 
addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
Adds the given Label to the List of labels for this Datum if it is not null.
addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
 
addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
Define a macro for rewriting a pattern in any tregex expression compiled by this compiler.
addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Add all of the mappings from the specified map to the current map.
addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If a token list does not have sentence final punctuation near the end, then automatically add the default one.
addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Add c times the array b to array a.
addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Add this dependency with the given count to the grammar.
addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
 
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
 
addToIndex(E) - Method in interface edu.stanford.nlp.util.Index
Takes an Object and returns the integer index of the Object.
addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex
Add the given item to the index, but without taking any locks.
addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution
Insures that object is in keyset (with possibly zero value)
addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
For adding a zero degree vertex
addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
For adding a zero degree vertex
addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "adjetive modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "adjective modifier" (amod) grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
 
ADMath - Class in edu.stanford.nlp.math
The class ADMath was created to extend the current calculations of gradient to automatically include a calculation of the hessian vector product with another vector v.
ADV_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "adverbial modifier" (advmod) grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
after() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the whitespace String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext
Return the whitespace String after the word.
after() - Method in class edu.stanford.nlp.ling.IndexedWord
 
AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "agent" grammatical relation.
AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "agent" grammatical relation.
Alignment - Class in edu.stanford.nlp.semgraph.semgrex
Represents an alignment between a text and a hypothesis as a map from hypothesis words to text words, along with a real-valued score and (optionally) a justification string.
Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
 
allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Returns all the tokens in the extraction, in the order subject then relation then object.
allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns all the typed dependencies of this grammatical structure.
allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show all the channels currently being printed, with the exception of this new one
alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show all the channels currently being printed, in addition to a new one
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
Americanize - Class in edu.stanford.nlp.process
Takes a HasWord or String and returns an Americanized version of it.
Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
 
Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize
Make an object for Americanizing spelling.
americanize(String) - Static method in class edu.stanford.nlp.process.Americanize
Convert the spelling of a word from British to American English.
americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize
Convert the spelling of a word from British to American English.
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
Returns a tokenizer with Ancora tokenization.
AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process
A utility for preprocessing the AnCora Spanish corpus.
AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
 
AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
 
andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts only when both filters accept (AND).
AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
AnnotationLookup - Class in edu.stanford.nlp.ling
Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them, which is needed for things like text serializations and the Semgrex query language.
annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
This data structure dictates how an arbitrary tree should be annotated.
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
 
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
 
AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
 
AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
 
append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
 
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
 
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
 
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
Americanize the HasWord or String coming in.
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
 
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
Note: At present this clobbers the input list items.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank
Apply a TreeVisitor to each tree in the Treebank.
apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
 
apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
 
apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Apply this configuration to Redwood
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Parses a properties file and applies it immediately to Redwood
apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
 
apply(String) - Method in enum edu.stanford.nlp.util.logging.Style
 
apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset
Applies feature count thresholds to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Applies a feature count threshold to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Applies a feature count threshold to the RVFDataset.
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Applies a max feature count threshold to the Dataset.
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Applies a feature max count threshold to the RVFDataset.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
 
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "appositional modifier" (appos) grammatical relation (abstract).
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
 
ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
list of properties files for each language
ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
 
arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
 
ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic
Find the head of an Arabic tree, using the usual kind of heuristic head finding rules.
ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
 
ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic
Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
 
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic
Converts features specifications to labels for tagging
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
 
ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
 
ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic
Specifies the treebank/language specific components needed for parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
A TreebankLangParserParams implementing class for the Penn Arabic Treebank.
ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
 
ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic
Builds a tokenizer for the Penn Arabic Treebank (ATB) using a StreamTokenizer.
ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
 
ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic
Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB) trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic
Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
Reads ArabicTreebank trees.
ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
 
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
 
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
 
arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Stores all the counts for dependencies (with and without the word being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>, E) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Distribution
 
argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils
In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "argument" (arg) grammatical relation (abstract).
ARGUMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "argument" grammatical relation.
ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
ArgumentParser - Class in edu.stanford.nlp.util
A class to set command line options.
ArgumentParser.Option - Annotation Type in edu.stanford.nlp.util
 
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
ArrayCoreMap - Class in edu.stanford.nlp.util
Base implementation of CoreMap backed by two Java arrays.
ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Default constructor - initializes with default initial annotation capacity of 4.
ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Initializes this ArrayCoreMap, pre-allocating arrays to hold up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Copy constructor.
ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Copy constructor.
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
Return a factory for making ArrayList Collections.
arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
 
ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
ArrayMap<K,V> - Class in edu.stanford.nlp.util
Map backed by an Array.
ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns an ArrayMap.
ArrayMath - Class in edu.stanford.nlp.math
Methods for operating on numerical arrays as vectors and matrices.
ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
 
ArraySet<E> - Class in edu.stanford.nlp.util
An array-backed set.
ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet.
ArraySet(List<E>) - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet, using the given list as the backing collection.
ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet with the specified elements.
ArrayStringFilter - Class in edu.stanford.nlp.util
Filters Strings based on whether they exactly match any string in the array it is initially constructed with.
ArrayStringFilter(ArrayStringFilter.Mode, String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
 
ArrayStringFilter.Mode - Enum in edu.stanford.nlp.util
 
arrayToFile(double[], String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
ArrayUtils - Class in edu.stanford.nlp.util
Static utility methods for operating on arrays.
asArray(Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array, the order of the array is random
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
asciiQuotes(String) - Static method in class edu.stanford.nlp.process.LexerUtils
Convert all single and double quote like characters to the ASCII quote characters: ' ".
asCounter(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Takes in a Collection of something and makes a counter, incrementing once for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter whose keys are the elements in this priority queue, and whose counts are the priorities in this queue.
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple
An optional method, returning the dependency tree this triple was extracted from
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
An optional method, returning the dependency tree this triple was extracted from
asDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable
returns Object as a Collection of its features
asFeatures() - Method in class edu.stanford.nlp.ling.RVFDatum
Returns the list of features without values
asFeaturesCounter() - Method in class edu.stanford.nlp.ling.RVFDatum
Returns the Counter of features and values
ASIAN_SMILEY - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
asImmutableSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return an immutable Set containing the same elements as the specified array.
asIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
needed because Arrays.asList() won't to autoboxing, so if you give it a primitive array you get a singleton list back with just that array as an element.
asList(int[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList(double[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList() - Method in class edu.stanford.nlp.util.Pair
 
asList() - Method in class edu.stanford.nlp.util.Triple
 
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a map view of the given counter.
asMap(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Tired of Properties not behaving like Map<String,String>s? This method will solve that problem for you.
asNormalizedCounter(C) - Static method in class edu.stanford.nlp.stats.Counters
L1 normalize a counter.
ASPECT_MARKER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "aspect marker" grammatical relation.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
asProperties(String...) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Create a Properties object from the passed in String arguments.
asSentence() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Return the given relation triple as a flat sentence
assertEquals(Set<E>, Set<E>, String, String, boolean, Supplier<String>) - Static method in class edu.stanford.nlp.util.Sets
Tests whether two sets are equal.
assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
 
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return a Set containing the same elements as the specified array.
asSet(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new Set containing all the objects in the specified array.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "associative marker" grammatical relation.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "associative modifier" (nmod:assmod) grammatical relation (Chinese-specific).
ASSOCIATIVEM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "associative modifier" grammatical relation.
asString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Convert from Properties to String.
atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic
Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
attributes() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
Stores attributes as a Map from keys to values.
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "attributive" grammatical relation.
AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
 
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "auxiliary" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "copula" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "auxiliary" (aux) grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
An auxiliary of a clause is a non-main verb of the clause, e.g., a modal auxiliary, or a form of be, do or have in a periphrastic tense.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "passive" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "auxiliary passive" (auxpass) grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
auxiliaries - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
AuxiliaryTree - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
AuxiliaryTree(Tree, boolean) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
 
available() - Method in class edu.stanford.nlp.io.ReaderInputStream
 
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a new Counter with counts averaged from the two given Counters.
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the mean of all the counts (totalCount/size).

B

BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "ba" grammatical relation.
BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "ba" grammatical relation.
backingLabel() - Method in class edu.stanford.nlp.ling.IndexedWord
Return the CoreLabel behind this IndexedWord
BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
BaseLexicon - Class in edu.stanford.nlp.parser.lexparser
This is the default concrete instantiation of the Lexicon interface.
BaseLexicon(Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
BaseLexicon(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Features which should be enabled by default.
baseParserWeight - Variable in class edu.stanford.nlp.parser.lexparser.Options
If reranking sentences, we can use the score from the original parser as well.
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns the basic syntactic category of a String.
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
BasicCategoryTagProjection - Class in edu.stanford.nlp.parser.lexparser
 
BasicCategoryTagProjection(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.BasicCategoryTagProjection
 
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether basic category tags are in the dependency grammar.
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Where to use the basic or split tags in the dependency grammar
BasicDatum<LabelType,FeatureType> - Class in edu.stanford.nlp.ling
Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum(Collection<FeatureType>, Collection<LabelType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection<FeatureType>, LabelType) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and label.
BasicDatum(Collection<FeatureType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and no labels.
BasicDatum() - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with no features or labels.
batchSize - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
beAuxiliaryRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
 
before() - Method in class edu.stanford.nlp.ling.IndexedWord
 
BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
beGetVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the beginning char offset of the label (or -1 if none).
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the beginning char offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
 
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
BiasedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogisticObjectiveFunction - Class in edu.stanford.nlp.classify
 
BiasedLogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BikelChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
A headfinder implementing Dan Bikel's head rules.
BikelChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
 
BikelChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
 
bikelHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
BinarizedTreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
 
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
bind(String, Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
 
BLACK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
BLINK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
BLUE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees
Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
 
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
 
BOLD - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
BooleanLogRecordHandler - Class in edu.stanford.nlp.util.logging
A log message handler designed for filtering.
BooleanLogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
 
BOUNDARY - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
BOUNDARY_TAG - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
BoundaryRemover - Class in edu.stanford.nlp.parser.lexparser
Removes a boundary symbol (Lexicon.BOUNDARY_TAG or Lexicon.BOUNDARY), which is the rightmost daughter of a tree.
BoundaryRemover() - Constructor for class edu.stanford.nlp.parser.lexparser.BoundaryRemover
 
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
branch(RedwoodConfiguration.Thunk...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Send any incoming messages multiple ways.
BROKEN - Static variable in class edu.stanford.nlp.classify.ClassifierExample
 
bSize - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
bSize - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
Buckwalter - Class in edu.stanford.nlp.international.arabic
This class can convert between Unicode and Buckwalter encodings of Arabic.
Buckwalter() - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
 
Buckwalter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
 
buckwalterToUnicode(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
ByFirstPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstPairComparator
 
ByFirstReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
 
BySecondPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondPairComparator
 
BySecondReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
 
ByteStreamGobbler - Class in edu.stanford.nlp.util
Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
BZip2PipedOutputStream - Class in edu.stanford.nlp.io
Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
BZip2PipedOutputStream(String) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 
BZip2PipedOutputStream(String, OutputStream) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 

C

C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
C can be tuned using held-out set or cross-validation.
c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The underlying Collection of input sources.
cache(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy
Create a lazy value from the given provider, allowing the value stored in the lazy to be garbage collected if necessary.
calculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
Calculate the value at x and the derivative and save them in the respective fields.
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
This function is used to come up with an estimate of the value / gradient based on only a small portion of the data (referred to as the batchSize for lack of a better term.
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of of a function for a given batch of the data.
calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticFiniteDifference(double[], double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient calculation based on samples indexed by batch and does not apply regularization.
calculateStochasticGradient(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient updates based on samples indexed by batch and do not apply regularization.
calculateStochasticGradientLocal(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based on samples indexed by batch.
calculateStochasticUpdate(double[], double, int, double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based on next batch of batchSize.
CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
callback(Object...) - Method in class edu.stanford.nlp.util.CallbackFunction
 
CallbackFunction - Class in edu.stanford.nlp.util
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
CallbackFunction() - Constructor for class edu.stanford.nlp.util.CallbackFunction
 
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
Indicates whether child can be converted to another encoding.
CanonicalEntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
 
canonicalObject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
canonicalSubject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
Uppercases the first character of a string.
capture(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Capture a system stream.
captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood
Captures System.out and System.err and redirects them to Redwood logging.
CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "case" grammatical relation.
CASE_MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass
Cast a String representation of an object into that object.
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
castWithoutKnowingType(String) - Static method in class edu.stanford.nlp.util.MetaClass
 
category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
category() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the category value of the label (or null if none).
category() - Method in interface edu.stanford.nlp.ling.HasCategory
Return the category value of the label (or null if none).
categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the syntactic category and 'function' of a String.
CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
CategoryWordTag - Class in edu.stanford.nlp.ling
A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
 
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
 
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory - Class in edu.stanford.nlp.ling
A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
 
CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns true iff t1 c-commands t2.
ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
A list of verbs where the answer to a question involving that verb would be a ccomp.
CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains a coordination in a flat structure
CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
 
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
CGMinimizer - Class in edu.stanford.nlp.optimization
Conjugate-gradient implementation based on the code in Numerical Recipes in C.
CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Basic constructor, use this.
CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Pass in false to get per-iteration progress reports (to stderr).
CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Perform minimization with monitoring.
chain(Comparator<? super T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
Returns a new Comparator which is the result of chaining the given Comparators.
chain(List<Comparator<? super T>>) - Static method in class edu.stanford.nlp.util.Comparators
Returns a new Comparator which is the result of chaining the given Comparators.
chain(Comparator<T>...) - Static method in class edu.stanford.nlp.util.Comparators
 
chain(LogRecordHandler[], RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Apply each of the handlers to incoming log messages, in sequence.
chain(LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
changeFeatureIndex(Index<F>) - Method in class edu.stanford.nlp.classify.Dataset
 
changeLabelIndex(Index<L>) - Method in class edu.stanford.nlp.classify.Dataset
 
changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Not supported in this implementation.
changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Create an object representing a group of channels.
channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Creates a new RedwoodChannels object, concatenating the channels from this RedwoodChannels with some additional channels.
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler
Character used to join multiple channel names
channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
channelWidth(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Set the width of the channels (or 0 to not show channels).
CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Add all test set trees to training data for PCFG.
checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
 
checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if a particular flag is set exclusively given a particular set of flags and a mask.
checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if a particular flag is set given a particular set of flags.
checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if multiple bits are set for flags
checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Checks to make sure that all properties specified in properties are known to the program by checking that each simply overrides a default value.
checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils
If any of the given list of properties are not found, returns the name of that property.
childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of pairs of a relation name and the child IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of relations which this node has with its children.
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.SimpleTree
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.Tree
Returns an array of children for the current node.
children - Variable in class edu.stanford.nlp.trees.TreeGraphNode
Children of this node.
children() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns an array of the children of this node.
children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
CHINESE_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
 
ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
 
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese
Performs collinization operations on Chinese trees similar to those for English Namely: strips all functional & automatically-added tags strips all punctuation merges PRN and ADVP eliminates ROOT (note that there are a few non-unary ROOT nodes; these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese
A class for mapping Chinese words to English.
ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese
An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
 
ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese
A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
 
ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
 
ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser
A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
Construct a new ChineseLexiconAndWordSegmenter.
ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
 
ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
 
ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser
A Dependency grammar that smoothes by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: Split the dou hao (a punctuation mark separating members of a list) from other punctuation.
chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: split Chinese punctuation several ways, along the lines of English punctuation plus another category for the dou hao.
chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: split left right/paren quote (if chineseSplitPunct is also true.
chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese VP splitting.
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese
Language pack for the UPenn/Colorado/Brandeis Chinese treebank.
ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese
This class contains a few String constants and static methods for dealing with Chinese text.
chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a 2x2 chi-square value.
chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns the supplied string with any trailing '\n' or '\r\n' removed.
chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns the result of calling toString() on the supplied Object, but with any trailing '\n' or '\r\n' removed.
CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese
A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
Constructs a new tokenizer from a Reader.
ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
CL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "clause modifier of a preposition" grammatical relation.
ClassicCounter<E> - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for objects.
ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
 
ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new Counter by counting the elements in the given Collection.
Classifier<L,F> - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.
CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "classifier marker" grammatical relation.
ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
Creates a classifier with given weights
ClassifierExample - Class in edu.stanford.nlp.classify
Sample code that illustrates the training and use of a linear classifier.
ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify
A simple interface for training a Classifier from a Dataset of training examples.
classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
 
classOf(Datum<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
 
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
classOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
classOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
 
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "clausal" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "clausal complement" (ccomp) grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "clausal modifier of noun" relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "clausal subject" grammatical relation.
clausalComplementRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
clauseRelations - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
clear() - Method in class edu.stanford.nlp.classify.GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.classify.RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
clears the graph, removes all edges and nodes
clear() - Method in interface edu.stanford.nlp.graph.Graph
clears the graph, removes all edges and nodes
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
clear() - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes all entries from the counter.
clear() - Method in interface edu.stanford.nlp.stats.Counter
Removes all entries from the counter.
clear() - Method in class edu.stanford.nlp.stats.IntCounter
Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
clears the map, total and default value
clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
clear() - Method in class edu.stanford.nlp.trees.DiskTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.Treebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.util.ArrayMap
 
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Clears the queue.
clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Clears this Map.
clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
clear() - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
clear() - Method in class edu.stanford.nlp.util.HashIndex
Clears this Index.
clear() - Method in class edu.stanford.nlp.util.IdentityHashSet
Removes all of the elements from this set.
clear() - Method in interface edu.stanford.nlp.util.Index
 
clear() - Method in class edu.stanford.nlp.util.Interner
 
clear(int) - Method in class edu.stanford.nlp.util.Interner
 
clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Clear any custom configurations to Redwood
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-).
clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood
Remove all log handlers from Redwood, presumably in order to construct a custom pipeline afterwards
clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank
If you are keeping the contents in memory, this will clear the memory, and they will be recomputed the next time iterator() is called.
clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
clone() - Method in class edu.stanford.nlp.stats.IntCounter
 
clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns a clone of this priority queue.
clone() - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns a shallow copy of this IdentityHashSet instance: the elements themselves are not cloned.
close() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
close() - Method in class edu.stanford.nlp.io.ReaderInputStream
Closes the Stringreader.
close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
close() - Method in class edu.stanford.nlp.trees.PennTreeReader
Closes the underlying Reader used to create this class.
close() - Method in interface edu.stanford.nlp.trees.TreeReader
Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
close() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils
Provides an implementation of closing a file for use in a finally block so you can correctly close a file without even more exception handling stuff.
closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
 
coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options
Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
CoarseNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
 
CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
CodepointOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
 
CodepointOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
 
collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Collapse records in a heuristic way to make reading easier.
COLLAPSED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Deprecated.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the Collection&lt;TypedDependency&gt; to collapse language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies or by adding additional information from the dependents to the relation of the governor.
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the Collection&lt;TypedDependency&gt; to collapse language-dependent transitive dependencies but keeping a tree structure.
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
collapseExact - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Collapse records which are duplicates into a single message, followed by a message detailing how many times it was repeated.
collapseRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
collapse the "ref" edges
collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
The collectionAcceptFilter accepts a certain collection.
CollectionFactory<T> - Class in edu.stanford.nlp.util
Factory for vending Collections.
CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
 
CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
 
collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
The collectionRejectFilter rejects a certain collection.
CollectionUtils - Class in edu.stanford.nlp.util
Collection of useful static methods for working with Collections.
CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
Map from keys to Collections.
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map.
collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Collects a list of operation patterns into a sequence of operations to be applied.
collinize(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
The collinizer eliminates punctuation
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
The tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
The tree transformer applied to trees prior to evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
the tree transformer used to produce trees for evaluation.
CollinsHeadFinder - Class in edu.stanford.nlp.trees
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
 
CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
This constructor provides the traditional behavior, where there is no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
 
collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Promote/delete punctuation like Collins.
CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser
This class manipulates punctuation in trees (used with training trees) in the same manner that Collins manipulated punctuation in trees when building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
 
CollocationFinder - Class in edu.stanford.nlp.trees
Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
Color - Enum in edu.stanford.nlp.util.logging
ANSI supported colors.
colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Color the tag for a particular channel this color
ColumnDataClassifier - Class in edu.stanford.nlp.classify
ColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items, where each data item is represented by a line of a file, as a list of String variables, in tab-separated columns.
ColumnDataClassifier(String) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Properties) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Pair<ColumnDataClassifier.Flags[], Classifier<String, String>>) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifierAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
 
columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts a tab delimited string into an object with given fields Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts a tab delimited string into an object with given fields Requires the object has public access for the specified fields
commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Return the maximum distance to a least common ancestor.
CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Reduces memory consumption to the minimum for representing the values currently stored stored in this object.
compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How to compact grammars as FSMs.
compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
Comparators - Class in edu.stanford.nlp.util
 
compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
 
compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.FeatureNameComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
 
compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
 
compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Provides a consistent ordering over arrays.
compareBooleanArrays(boolean[], boolean[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns order of another interval compared to this one
compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Provides a consistent ordering over lists.
compareTo(RelationTriple) - Method in class edu.stanford.nlp.ie.util.RelationTriple
 
compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
NOTE: For this compareTo, you must have a DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation for it to make sense and be guaranteed to work properly.
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Orders first by word, then by lemma, then by tag.
compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag
Orders first by word, then by tag.
compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
Compares SemanticGraphEdges.
compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
 
compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
 
compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
Compares two MutableDouble objects numerically.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
Compares two MutableInteger objects numerically.
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair
Compares this Pair to another object.
compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
 
compatibleWith(Language) - Method in enum edu.stanford.nlp.international.Language
Returns whether these two languages can be considered compatible with each other.
compile(String, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Creates a pattern from the given string.
compile(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
Create a TregexPattern from this tregex string using the headFinder and basicCat function this TregexPatternCompiler was created with.
compileAnnotations(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Compile the TregexPoweredTreebankParserParams.annotations collection given a particular head finder.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "comp" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "complement" (comp) grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "cp marker" grammatical relation.
compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps
Compose two maps map1:x->y and map2:y->z to get a map x->z
CompositeTreebank - Class in edu.stanford.nlp.trees
 
CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
 
CompositeTreeTransformer - Class in edu.stanford.nlp.trees
A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
 
CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
 
COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "compound" grammatical relation (abstract).
COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "compound modifier" grammatical relation.
compute(double[], double[]) - Method in class edu.stanford.nlp.classify.LogPrior
Adjust the given grad array by adding the prior's gradient component and return the value of the logPrior
compute() - Method in class edu.stanford.nlp.util.Lazy
Compute the value of this lazy.
computeAverage(ToDoubleFunction<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>>) - Method in class edu.stanford.nlp.classify.CrossValidator
This computes the average over all folds of the function we're trying to optimize.
computeStochastic(double[], double[], double) - Method in class edu.stanford.nlp.classify.LogPrior
 
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
 
concatenate(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Concatenates two arrays and returns the result
ConcatenationIterator<T> - Class in edu.stanford.nlp.util
Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
 
concatIterators(Iterator<E>...) - Static method in class edu.stanford.nlp.util.CollectionUtils
Concatenate a number of iterators together, to form one big iterator.
CONCURRENT_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a GeneralizedCounter conditioned on the given top level object.
confidence - Variable in class edu.stanford.nlp.ie.util.RelationTriple
An optional score (confidence) for this triple
confidenceGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
A textual representation of the confidence.
confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
ConjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
 
ConjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
 
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "conjunct" (conj) grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "conjunct" grammatical relation.
CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
CoNLLUDocumentReader - Class in edu.stanford.nlp.trees.ud
Reader for ConLL-U formatted dependency treebanks.
CoNLLUDocumentReader() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
 
CoNLLUDocumentReader(Language) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
 
CoNLLUFeats() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
 
CoNLLUMisc() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
 
CoNLLUSecondaryDepsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
 
CoNLLUTokenSpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
 
CoNLLUUtils - Class in edu.stanford.nlp.trees.ud
Utility functions for reading and writing CoNLL-U files.
CoNLLUUtils() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils
 
CoNLLUUtils.DepIndexComparator - Class in edu.stanford.nlp.trees.ud
 
CoNLLUUtils.FeatureNameComparator - Class in edu.stanford.nlp.trees.ud
 
CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph
Finds connected components in the graph, currently uses inefficient list for variable 'verticesLeft'.
ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
 
console(String, Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
Start a simple console.
console(Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
 
Constituent - Class in edu.stanford.nlp.trees
A Constituent object defines a generic edge in a graph.
Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
 
ConstituentFactory - Interface in edu.stanford.nlp.trees
A ConstituentFactory is a factory for creating objects of class Constituent, or some descendent class.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
constituents() - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, int) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
 
contains(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span contains otherSpan.
contains(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if i is inside this span.
contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent contains a constituent, that is whether they are nested.
contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns true iff object o equals (not ==) some element of array a.
contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Returns whether the queue contains the given key.
contains(Object) - Method in class edu.stanford.nlp.util.HashIndex
Checks whether an Object already has an index in the Index
contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns true if this set contains the specified element.
contains(Object) - Method in interface edu.stanford.nlp.util.Index
 
contains(E) - Method in class edu.stanford.nlp.util.Interval
Checks whether the point p is contained inside this interval.
contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
 
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
containsFirstKey(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Convenience method: a case-insensitive variant of Collection.contains.
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns whether a Counter contains a key.
containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter
Returns whether a Counter contains a key.
containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
 
containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Like ClassicCounter, this currently returns true if the count is explicitly 0.0 for something
containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns true if contains the given key.
containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive.
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if contains the given key.
ContainsMessage(String) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
 
containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Checks whether a Collection contains a specified Object.
containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
 
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Unsupported.
containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
 
containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "xsubj" grammatical relation.
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "xsubj" grammatical relation, replaced with "nsubj:xsubj".
CONTROLLING_CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "controlling clausal passive subject" relation.
CONTROLLING_CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "controlling clausal subject" relation.
CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "controlling nominal passive subject" relation.
CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "controlling nominal subject" relation.
convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Converts the tree labels to CoreLabels.
convertToUPOS - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
convertTrees(String[], String) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
Given sentences or trees, output the typed dependencies.
COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "coordination" grammatical relation.
CoordinationPattern - Class in edu.stanford.nlp.semgraph.semgrex
 
CoordinationPattern(boolean, List<SemgrexPattern>, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
CoordinationTransformer - Class in edu.stanford.nlp.trees
Coordination transformer transforms a PennTreebank tree containing a coordination in a flat structure in order to get the dependencies right.
CoordinationTransformer(HeadFinder) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
 
CoordinationTransformer(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
Constructor
COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "copula" grammatical relation.
COPULA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "copula" grammatical relation.
COPULA - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "copula" grammatical relation.
CopulaHeadFinder - Interface in edu.stanford.nlp.trees
A mix-in interface for HeadFinders which support the makesCopulaHead method, which says how the HeadFinder in question handles "to be" verbs.
copularVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
copularWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
copy(TsurgeonMatcher, TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
Copies the Auxiliary tree.
copy(long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
 
CoreAnnotation<V> - Interface in edu.stanford.nlp.ling
The base class for any annotation that can be marked on a CoreMap, parameterized by the type of the value associated with the annotation.
CoreAnnotations - Class in edu.stanford.nlp.ling
Set of common annotations for CoreMaps.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AnswerProbAnnotation - Class in edu.stanford.nlp.ling
The matching probability for the AnswerAnnotation
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.ArabicCharAnnotation - Class in edu.stanford.nlp.ling
for Arabic: character level information, segmentation
CoreAnnotations.ArabicSegAnnotation - Class in edu.stanford.nlp.ling
For Arabic: the segmentation information from the segmenter.
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.AuthorAnnotation - Class in edu.stanford.nlp.ling
Author for the document (really should be a set of authors, but just have single string for simplicity)
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling
This indexes the beginning of a span of words, e.g., a constituent in a tree.
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CanonicalEntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
Index into the list of entity mentions in a document for canonical entity mention.
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first char of an annotation.
CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the last character after the end of an annotation.
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
For Chinese: character level information, segmentation.
CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling
Not sure exactly what this is, but it is different from ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
For Chinese: the segmentation info existing in the original text.
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
For Chinese: the segmentation information from the segmenter.
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoarseNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the coarse named entity tag (i.e.
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.CodepointOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
Some codepoints count as more than one character.
CoreAnnotations.CodepointOffsetEndAnnotation - Class in edu.stanford.nlp.ling
Some codepoints count as more than one character.
CoreAnnotations.ColumnDataClassifierAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the index of the word which is the parent of this word in the dependency tree
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - map which, for the current word, specifies its specific role for each predicate
CoreAnnotations.CoNLLUFeats - Class in edu.stanford.nlp.ling
CoNLL-U dep parsing - List of morphological features
CoreAnnotations.CoNLLUMisc - Class in edu.stanford.nlp.ling
CoNLL-U dep parsing - Any other annotation
CoreAnnotations.CoNLLUSecondaryDepsAnnotation - Class in edu.stanford.nlp.ling
CoNLL-U dep parsing - List of secondary dependencies
CoreAnnotations.CoNLLUTokenSpanAnnotation - Class in edu.stanford.nlp.ling
CoNLL-U dep parsing - span of multiword tokens
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation - Class in edu.stanford.nlp.ling
mapping from coref mentions to corresponding ner derived entity mentions
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling
This refers to the unique identifier for a "document", where document may vary based on your application.
CoreAnnotations.DocSourceTypeAnnotation - Class in edu.stanford.nlp.ling
Document source type What kind of place did the document come from: newswire, discussion forum, web...
CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling
Document title What is the document title
CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling
Document type What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling
Used in CRFClassifier stuff PositionAnnotation should possibly be an int - it's present as either an int or string depending on context CharAnnotation may be "CharacterAnnotation" - not sure
CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling
This indexes the end of a span of words, e.g., a constituent in a tree.
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
index into the list of entity mentions in a document
CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation - Class in edu.stanford.nlp.ling
Mapping from NER-derived entity mentions to coref mentions.
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ExceptionAnnotation - Class in edu.stanford.nlp.ling
Stores an exception associated with processing this document
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FineGrainedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the fine grained named entity tag (i.e.
CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling
used in binarized trees to specify the first child in the rule for which this node is the parent
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceUntilEndAnnotation - Class in edu.stanford.nlp.ling
This indicates that starting at this token, the sentence should not be ended until we see a ForcedSentenceEndAnnotation.
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
Possibly this should be grouped with gazetteer annotation - original key was "gaz".
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GenderAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying an entity mention's potential gender.
CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling
The key for storing a Head word as a string rather than a pointer (as in TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsFirstWordOfMWTAnnotation - Class in edu.stanford.nlp.ling
The CoreLabel key identifying whether a token is the first word derived from a multi-word-token.
CoreAnnotations.IsMultiWordTokenAnnotation - Class in edu.stanford.nlp.ling
The CoreLabel key identifying whether a token is a multi-word-token This is attached to CoreLabels.
CoreAnnotations.IsNewlineAnnotation - Class in edu.stanford.nlp.ling
The CoreLabel key identifying whether a token is a newline or not This is attached to CoreLabels.
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.KBPTriplesAnnotation - Class in edu.stanford.nlp.ling
An annotation for a sentence tagged with its KBP relation.
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling
The Standard key for storing the left terminal number relative to the root of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem, lexeme form) of a token.
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling
Line number for a sentence in a document delimited by newlines instead of punctuation.
CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling
Reference location for the document
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MWTTokenTextAnnotation - Class in edu.stanford.nlp.ling
Text of the token that was used to create this word during a multi word token split.
CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) This key is typically set on token annotations.
CoreAnnotations.NamedEntityTagProbsAnnotation - Class in edu.stanford.nlp.ling
Label and probability pair representing the coarse grained label and probability
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling
This is an NER ID annotation (in case the all caps parsing didn't work out for you...)
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
Annotation indicating the numeric object associated with an annotation.
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
Annotation indicating the numeric value of the phrase the token is part of (twenty first => 21 21 ).
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
Annotation indicating whether the numeric phrase the token is part of represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL).
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling
The exact original surface form of a token.
CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.ParagraphIndexAnnotation - Class in edu.stanford.nlp.ling
used in ParagraphAnnotator.
CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PresetAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
used in binarized trees to say the name of the most recent child
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.QuotationIndexAnnotation - Class in edu.stanford.nlp.ling
Unique identifier within a document for a given quotation.
CoreAnnotations.QuotationsAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.QuotedAnnotation - Class in edu.stanford.nlp.ling
Indicate whether a sentence is quoted
CoreAnnotations.QuotesAnnotation - Class in edu.stanford.nlp.ling
Store a list of CoreMaps representing quotes
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic role label of a phrase.
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
Section of a document
CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
Store the beginning of the author mention for this section
CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
Store the end of the author mention for this section
CoreAnnotations.SectionDateAnnotation - Class in edu.stanford.nlp.ling
Date for a section of a document
CoreAnnotations.SectionEndAnnotation - Class in edu.stanford.nlp.ling
Indicates that the token end a section and the label of the section
CoreAnnotations.SectionIDAnnotation - Class in edu.stanford.nlp.ling
Id for a section of a document
CoreAnnotations.SectionIndexAnnotation - Class in edu.stanford.nlp.ling
Store an index into a list of sections
CoreAnnotations.SectionsAnnotation - Class in edu.stanford.nlp.ling
Store a list of sections in the document
CoreAnnotations.SectionStartAnnotation - Class in edu.stanford.nlp.ling
Indicates that the token starts a new section and the attributes that should go into that section
CoreAnnotations.SectionTagAnnotation - Class in edu.stanford.nlp.ling
Store the xml tag for the section as a CoreLabel
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceBeginAnnotation - Class in edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceEndAnnotation - Class in edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the sentences contained in an annotation.
CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling
The standard key for the "shape" of a word: a String representing the type of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.SpeakerTypeAnnotation - Class in edu.stanford.nlp.ling
used to store speaker type information for coref
CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
 
CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling
The key for semantic role labels (Note: please add to this description if you use this key)
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StatementTextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text, as formatted by the QuestionToStatementTranslator.
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
Stem of the word this label represents.
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text.
CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling
Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level true case annotation (e.g., INIT_UPPER) This key is typically set on token annotations.
CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
whether the node is the parent in a unary rule
CoreAnnotations.UnclosedQuotationsAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
Note: this is not a catchall "unknown" annotation but seems to have a specific meaning for sequence classifiers
CoreAnnotations.UseMarkedDiscourseAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling
Probank key for the Verb sense given in the Propbank Annotation, should only be in the verbnode
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WikipediaEntityAnnotation - Class in edu.stanford.nlp.ling
An annotation for the Wikipedia page (i.e., canonical name) associated with this token.
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
Used in CleanXMLAnnotator.
CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling
Used in SimpleXMLAnnotator.
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
 
CorefMentionToEntityMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
 
CoreLabel - Class in edu.stanford.nlp.ling
A CoreLabel represents a single word with ancillary information attached using CoreAnnotations.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
Default constructor, calls super()
CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Initializes this CoreLabel, pre-allocating arrays to hold up to capacity key,value pairs.
CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given CoreLabel.
CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given CoreMap.
CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given label.
CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
This constructor attempts to parse the String keys into Class keys.
CoreLabel(Class[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
This constructor attempts uses preparsed Class keys.
CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend.
CoreLabel.OutputFormat - Enum in edu.stanford.nlp.ling
 
coreLabelFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
a factory that vends CoreLabel tokens with default tokenization.
coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
coreLabelFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
CoreLabelTokenFactory - Class in edu.stanford.nlp.process
Constructs CoreLabels from Strings optionally with beginning and ending (character after the end) offset positions in an original text.
CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructor for a new token factory which will add in the word, the "current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructor that allows one to choose if index annotation indicating begin/end position will be included in the label.
CoreMap - Interface in edu.stanford.nlp.util
Base type for all annotatable core objects.
CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process
To make tokens like CoreMap or CoreLabel.
correct(double, int) - Static method in class edu.stanford.nlp.classify.PRCurve
 
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the TypedDependencyGraph to correct language-dependent dependencies.
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
correctDependencies(SemanticGraph) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
'Correct' tags to produce verbs in VPs, etc.
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
Counter<E> - Interface in edu.stanford.nlp.stats
An Object to double map used for keeping weights or counts for objects.
counter - Variable in class edu.stanford.nlp.stats.Distribution
 
Counters - Class in edu.stanford.nlp.stats
Static methods for operating on a Counter.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
cp(File, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
An implementation of cp, as close to the Unix command as possible.
cp(File, File) - Static method in class edu.stanford.nlp.io.IOUtils
 
cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
create() - Method in interface edu.stanford.nlp.util.Factory
Creates and returns a new instance of the given type.
create(String) - Static method in class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass (helper method)
create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass (helper method)
createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
 
createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking objects of the types given
createIndex() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
create an index for each parameter - the prior probs and the features with all of their values
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
Creates an instance of the class produced in this factory
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass
Create an instance of the class, inferring the type automatically, and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass
Creates an instance of the class, forcing a cast to a certain type and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createLinearClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
 
CreateSubtreeNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
Given the start and end children of a particular node, takes all children between start and end (including the endpoints) and combines them in a new node with the given label.
CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets
Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent overlaps a constituent without nesting, that is, whether they "cross".
crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent overlaps any of a Collection of Constituents without nesting, that is, whether it "crosses" any of them.
crossValidate(GeneralDataset<String, String>, List<String[]>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
This method will cross validate on the given data and number of folds to find the optimal C.
crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int) with 5-fold cross-validation.
crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int, Scorer, LineSearcher) with multi-class log-likelihood scoring (see MultiClassAccuracyStats) and golden-section line search (see GoldenSectionLineSearch).
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer.
CrossValidator<L,F> - Class in edu.stanford.nlp.classify
This class is meant to simplify performing cross validation of classifiers for hyper-parameters.
CrossValidator(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.CrossValidator
 
CrossValidator(GeneralDataset<L, F>, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
 
CrossValidator.SavedState - Class in edu.stanford.nlp.classify
 
CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese
This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Build a CTBErrorCorrectingTreeNormalizer.
CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
CTBErrorCorrectingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
 
CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
The CTBTreeReaderFactory is a factory for creating a TreeReader suitable for the Penn Chinese Treebank (CTB).
CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
The current Redwood configuration; this is used to make incremental changes to an existing custom configuration.
currentToken - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
This is the last token that has been consumed successfully.
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Minimum support * KL to be included in output and as feature
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
Minimum support * KL to be included in output and as feature
cwa() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
cwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 

D

d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
data - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
data - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
data - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
data - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Normally, this contains the data.
dataDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
Data dimension must return the size of the data used by the function.
dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Alternatively, the data may be available from an Iterable in not yet indexed form.
Dataset<L,F> - Class in edu.stanford.nlp.classify
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of Datum objects for the purposes of training a Classifier with a ClassifierFactory.
Dataset() - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(int) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(Index<L>, int[], Index<F>, int[][]) - Constructor for class edu.stanford.nlp.classify.Dataset
Constructor that fully specifies a Dataset.
Dataset(Index<L>, int[], Index<F>, int[][], int) - Constructor for class edu.stanford.nlp.classify.Dataset
Constructor that fully specifies a Dataset.
dataweights - Variable in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
dataWeights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
dataweights - Variable in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
DateTreeTransformer - Class in edu.stanford.nlp.trees
Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) ) (, ,) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Day) (, ,) (CD Year) )
(NP (NP (NNP Month) ) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
 
Datum<L,F> - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options
"double count" tags rewrites as word in PCFG and Dep parser.
deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
Debinarizer - Class in edu.stanford.nlp.parser.lexparser
Debinarizes a binary tree from the parser.
Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
 
Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
 
debug(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
debugf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log to the debug channel.
debugLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Run Redwood with SLF4J if available, otherwise with stderr logging at the debug (everything) level.
debugOutputFrequency - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If larger than 0, the parser may choose to output debug information every X seconds, X iterations, or some other similar metric
decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank
Divide a Treebank into 3, by taking every 9th sentence for the dev set and every 10th for the test set.
decodeArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
Decode an array encoded as a String.
decodeMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
Decode a map encoded as a string.
decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Demotes a key in the queue, adding it if it wasn't there already.
decrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
decrementBatch - This decrements the curElement variable by the amount batchSize.
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Decrements the count for this key by the given value.
decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Decrements the count for this key by 1.0.
decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Decrements the count for this key by the given value.
decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
Decrements the count for this key by 1.0.
decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts 1 from the count for the given key.
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts the given count from the current counts for each of the given keys.
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts 1 from the counts of each of the given keys.
deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
deepCopy() - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Like makeFromGraphs, but it makes a deep copy of the graphs and renumbers the index words.
DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training using batches of trees, such as in the DVParser, how many trees to use in one batch
DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack
Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many of the top K trees to analyze from the underlying parser
DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
 
DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many iterations to loop for one batch of trees
DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
regularization constant
DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_STALLED_ITERATION_LIMIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_TRAINING_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training a parsing method where the training has a (max) number of iterations, how many iterations to loop
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
 
DEFAULT_TSURGEON_FILE - Static variable in class edu.stanford.nlp.trees.UniversalPOSMapper
 
DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Parameters specific for creating a ChineseLexicon
DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
RS: file for Turian's word vectors The default value is an example of size 25 word vectors on the nlp machines
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
defaultCoreNLPFlags() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
When run inside StanfordCoreNLP, which flags should be used by default.
defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
 
defaultFile - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
These are built automatically from categoriesToAvoid and used in a fairly different fashion from defaultRule (above).
DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline
Applies a default set of lexical transformations that have been empirically validated in various Arabic tasks.
DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the default return value.
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter
Returns the default return value.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
 
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Default direction if no rule is found for category (the head/parent).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Return a default sentence for the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Return a default sentence of the language (for testing).
defaultValue() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
 
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
deleteDirRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
Given a filepath, delete all files in the directory recursively
deleteDuplicateEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Deletes all duplicate edges.
deleteDuplicateEdges() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Delete all duplicate edges.
deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters
Delete 'top' and 'bottom' number of elements from the top and bottom respectively
deleteRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
Delete this file; or, if it is a directory, delete this directory and all its contents.
deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank
An Iterator that reads the contents of a Reader, delimited by the specified delimiter, and then subsequently processed by an Function to produce Objects of type T.
DelimitRegExIterator(Reader, String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator.DelimitRegExIteratorFactory<T> - Class in edu.stanford.nlp.objectbank
 
DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
deltaCopy() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Creates a "delta copy" of this Map, where only the differences from the original Map are represented.
deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
DeltaMap<K,V> - Class in edu.stanford.nlp.util
A Map which wraps an original Map, and only stores the changes (deltas) from the original Map.
DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
This is very cheap.
DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
 
deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How much to penalize the wrong trees for how different they are from the gold tree when training
demoteQuantMod - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
dep() - Method in class edu.stanford.nlp.trees.TypedDependency
 
Dependencies - Class in edu.stanford.nlp.trees
Utilities for Dependency objects.
dependencies() - Method in class edu.stanford.nlp.trees.Tree
Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Predicate<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
 
dependencies(Predicate<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree
Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
dependenciesToCoNLLXString(GrammaticalStructure, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
Calls dependenciesToCoNLLXString with the basic dependencies from a grammatical structure.
dependenciesToCoNLLXString(Collection<TypedDependency>, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
Returns a dependency tree in CoNNL-X format.
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
 
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
 
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
An individual dependency between a governor and a dependent.
dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
This is where all dependencies are stored (using full tag space).
dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency
Provide a factory for this kind of dependency
DependencyFactory - Interface in edu.stanford.nlp.trees
A factory for dependencies of a certain type.
dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
 
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser
An interface for DependencyGrammars.
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
A Comparator for Dependencies based on their dependent annotation.
dependencyObjectify(Tree, HeadFinder, TreeTransformer, DependencyTyper<E>) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the set of dependencies in a tree, according to some DependencyTyper.
DependencyPrinter - Interface in edu.stanford.nlp.trees
 
DependencyReader - Interface in edu.stanford.nlp.trees
 
DependencyTreeTransformer - Class in edu.stanford.nlp.trees
Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
 
DependencyTyper<T> - Interface in edu.stanford.nlp.trees
A generified interface for making some kind of dependency object between a head and dependent.
dependent() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the dependent (argument/modifier) of the dependency relation.
DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
The "dependent" grammatical relation, which is the inverse of "governor".
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
DependentPuncTagRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
DependentPuncWordRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
 
DepIndexComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
 
depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the depth of the GeneralizedCounter (i.e., the dimension of the distribution).
depth() - Method in class edu.stanford.nlp.trees.Tree
Finds the depth of the tree.
depth(Tree) - Method in class edu.stanford.nlp.trees.Tree
Finds the distance from this node to the specified node.
depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Weighting on dependency log probs.
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
derivativeAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction
Returns the first-derivative vector at the input location.
derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction
Returns the first-derivative vector at the input location.
derivativeNumerator - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
This is used to cache the numerator in batch methods.
descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the set of descendants governed by this node in the graph.
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
DescriptionPattern - Class in edu.stanford.nlp.trees.tregex
 
DescriptionPattern(Relation, boolean, String, String, boolean, Function<String, String>, List<Pair<Integer, String>>, boolean, String) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
DescriptionPattern(Relation, DescriptionPattern) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
 
deserializeStringCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
Read a Counter from a serialized file
determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
Determine which daughter of the current parse tree is the head given the parent of the tree.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
 
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
 
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
Determine which daughter of the current parse tree is the head.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
Determine which daughter of the current parse tree is the head.
DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "determiner" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "determiner modifier" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "determiner modifier" (det) grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "determiner" grammatical relation.
diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns diagonal elements of the given (square) matrix.
diag - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns all objects in list1 that are not in list2.
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the difference of sets s1 and s2.
diffAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns all objects in list1 that are not in list2.
DiffFloatFunction - Interface in edu.stanford.nlp.optimization
An interface for once-differentiable double-valued functions over double arrays.
DiffFunction - Interface in edu.stanford.nlp.optimization
An interface for once-differentiable double-valued functions over double arrays.
DijkstraShortestPath - Class in edu.stanford.nlp.graph
 
DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "direct object" (dobj) grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "direct object" grammatical relation.
DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph
Simple graph library; this is directed for now.
DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
 
DirectedMultiGraph(MapFactory<V, Map<V, List<E>>>, MapFactory<V, List<E>>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
 
DirectedMultiGraph(DirectedMultiGraph<V, E>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
Creates a copy of the given graph.
directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether left and right is distinguished.
directional - Variable in class edu.stanford.nlp.parser.lexparser.Options
Whether dependency grammar considers left/right direction.
disambiguatePersonalPronoun(SpanishVerbStripper.StrippedVerb, int, String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
Determine whether the given clitic pronoun is an indirect object pronoun or a reflexive pronoun.
discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
DISCOURSE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "discourse" (discourse) grammatical relation.
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "discourse element" grammatical relation.
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "discourse element" grammatical relation.
discretizeCompute(DoubleUnaryOperator, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
DisjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
 
DisjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
returns a DiskTreebank appropriate to the treebank source
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Uses a DiskTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Allows you to read in trees from the source you want.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a DiskTreebank appropriate to the treebank source
DiskTreebank - Class in edu.stanford.nlp.trees
A DiskTreebank is a Collection of Trees.
DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new treebank, set the encoding for file access.
DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Returns true if an object has special logic for pretty logging (e.g.
display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Display (write to stderr) language-specific settings.
display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
 
display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.Options
 
display() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
 
display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Output a description of the current annotation configuration to standard error.
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
distance(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns the smallest distance between two spans.
distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
distance - Variable in class edu.stanford.nlp.parser.lexparser.Options
Use distance bins in the dependency calculations
distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
 
Distribution<E> - Class in edu.stanford.nlp.stats
Immutable class for representing normalized, smoothed discrete distributions from Counters.
distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Maps a counter representing the linear weights of a multiclass logistic regression model to the probabilities of each class.
distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
Returns a Distribution that uses prior as a Dirichlet prior weighted by weight.
DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
divide(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
divideInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Divides the values in this array by b.
divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Divides every non-zero count in target by the corresponding value in the denominator Counter.
divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Divides each value in target by the given divisor, in place.
divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
divisionNonNaN(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
 
docID() - Method in class edu.stanford.nlp.ling.IndexedWord
 
DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
 
DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
 
DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
 
doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options
Do a dependency parse of the sentence.
doing(String) - Method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction
Returns the number of dimensions in the function's domain
domainDimension() - Method in interface edu.stanford.nlp.optimization.Function
Returns the number of dimensions in the function's domain
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns true if this dominates the Tree passed in as an argument.
dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a conjunction (CC)
dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a preposition (IN)
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Verbal distance -- mark whether symbol dominates a verb (V*).
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a verb (V*, MD).
dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the path of nodes leading down to a dominated node, including this and the dominated node itself.
done() - Method in class edu.stanford.nlp.util.Timing
Finish the line from doing() with the end of the timing done message and elapsed time in x.y seconds.
done(String) - Method in class edu.stanford.nlp.util.Timing
Give a line saying that something is " done".
done(StringBuilder) - Method in class edu.stanford.nlp.util.Timing
 
done(Redwood.RedwoodChannels, StringBuilder) - Method in class edu.stanford.nlp.util.Timing
This method allows you to show the results of timing according to another class' logger.
done(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
 
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options
Do a PCFG parse of the sentence.
doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, then failure of the PCFG factor to parse a sentence will trigger parse recovery mode.
doRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
Add "ref" edges
doSubj - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
Add extra subject edges
dotProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Assumes that both arrays have same length.
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of Counter c and double[] a, using Index idx to map entries in C onto a.
dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies every count in target by the corresponding value in the term Counter.
DoubleAD - Class in edu.stanford.nlp.math
The class DoubleAD was created to extend the current calculations of gradient to automatically include a calculation of the Hessian vector product with another vector v.
DoubleAD() - Constructor for class edu.stanford.nlp.math.DoubleAD
 
DoubleAD(double, double) - Constructor for class edu.stanford.nlp.math.DoubleAD
 
doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
 
doubleValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
drawSample() - Method in class edu.stanford.nlp.stats.Distribution
Exactly the same as sampleFrom(), needed for the Sampler interface.
drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution
A method to draw a sample, providing an own random number generator.
drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
 
drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
 
dump() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
dump(PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
dump the <x,y> pairs it computed found
dumpSimWordAvgStats() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
This creates a new graph based off the given, but uses the existing nodes objects.
dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DVP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "dvp marker" grammatical relation.
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "dvp modifier" grammatical relation.
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "dvp modifier" grammatical relation.
dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Make the dv model as simple as possible
DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
Implements the head finding rules from Dybro-Johansen master's thesis.
DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
 
DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
 
dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
Like normalizedCounterWithDirichletPrior except probabilities are computed dynamically from the counter and prior instead of all at once up front.

E

edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns an ordered list of edges in the graph.
editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Computes the Levenshtein (edit) distance of the two given Strings.
edu.stanford.nlp.classify - package edu.stanford.nlp.classify
The classify package provides facilities for training classifiers.
edu.stanford.nlp.graph - package edu.stanford.nlp.graph
 
edu.stanford.nlp.ie.machinereading.structure - package edu.stanford.nlp.ie.machinereading.structure
 
edu.stanford.nlp.ie.util - package edu.stanford.nlp.ie.util
 
edu.stanford.nlp.international - package edu.stanford.nlp.international
 
edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
 
edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
 
edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
 
edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
 
edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
 
edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
 
edu.stanford.nlp.international.spanish - package edu.stanford.nlp.international.spanish
 
edu.stanford.nlp.international.spanish.process - package edu.stanford.nlp.international.spanish.process
 
edu.stanford.nlp.io - package edu.stanford.nlp.io
A few classes that augment the java.io package in useful ways for our applications.
edu.stanford.nlp.ling - package edu.stanford.nlp.ling
This package contains the different data structures used by JavaNLP throughout the years for dealing with linguistic objects in general, of which words are the most generally used.
edu.stanford.nlp.math - package edu.stanford.nlp.math
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage, Scientific Notation, etc.
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
The ObjectBank class is designed to make it easy to change the format/source of data read in by other classes and to standardize how data is read in javaNLP classes.
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
Numerical optimization, including a conjugate gradient implementation.
edu.stanford.nlp.parser - package edu.stanford.nlp.parser
This package contains a few simple interfaces for the parsers in the various subpackages.
edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser
This package contains implementations of three probabilistic parsers for natural language text.
edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
 
edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
 
edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline
 
edu.stanford.nlp.process - package edu.stanford.nlp.process
Contains classes for processing documents.
edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph
This package provides a representation of dependency graphs (normally the collapsed Stanford Dependencies representation) as a graph (backed by the jgrapht graph library.
edu.stanford.nlp.semgraph.semgrex - package edu.stanford.nlp.semgraph.semgrex
A package for dependency graph (i.e.
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
A set of tools for collecting, representing, and inferring with statistics.
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
A package for (NLP) trees, sentences, and similar things.
edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic
A TreeNormalizer, HeadFinder, and TreebankLanguagePack for the Penn Arabic Treebank.
edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
 
edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra
Classes, and JFlex source file, for reading and tokenization of NEGRA corpus export-format files.
edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB) export-format files.
edu.stanford.nlp.trees.international.spanish - package edu.stanford.nlp.trees.international.spanish
 
edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
 
edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex
A package for tree-pattern expressions and matching these expressions to Tree instances.
edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon
A package for performing transformations of trees to be used in conjunction with edu.stanford.nlp.trees.tregex.
edu.stanford.nlp.trees.ud - package edu.stanford.nlp.trees.ud
 
edu.stanford.nlp.util - package edu.stanford.nlp.util
A collection of useful general-purpose utility classes.
edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
A collection of useful thread-safe general-purpose utility classes.
edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging
 
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
EMPTY - Static variable in class edu.stanford.nlp.ling.Word
Word representation of an empty.
empty() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler
An empty list to serve as the FALSE token for filters
empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
An empty Redwood configuration.
EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
EMPTY_LEAF_VALUE - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
 
EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree
A leaf node should have a zero-length array for its children.
emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
 
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The encoding for file input.
encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
encoding() - Method in class edu.stanford.nlp.trees.Treebank
Returns the encoding in use for treebank file bytestream access.
EncodingFileReader - Class in edu.stanford.nlp.io
This is a convenience class which works almost exactly like FileReader but allows for the specification of input encoding.
EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the name of the file to read from.
EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the name of the file to read from and an encoding
EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the File to read from, and using default of utf-8.
EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new FileReader, given the File to read from and encoding.
EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new FileReader, given the FileDescriptor to read from.
EncodingPrintWriter - Class in edu.stanford.nlp.io
A convenience IO class with print and println statements to standard output and standard error allowing encoding in an arbitrary character set.
EncodingPrintWriter.err - Class in edu.stanford.nlp.io
Print methods wrapped around System.err
EncodingPrintWriter.out - Class in edu.stanford.nlp.io
Print methods wrapped around System.out
end() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
end() - Method in class edu.stanford.nlp.trees.Constituent
access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access end node.
end(String) - Method in class edu.stanford.nlp.util.Timing
Print the timing done message with elapsed time in x.y seconds.
endDoing() - Static method in class edu.stanford.nlp.util.Timing
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endDoing(String) - Static method in class edu.stanford.nlp.util.Timing
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the ending char offset of the label (or -1 if none).
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the ending char offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
 
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
Signal that all threads have run to completion, and the multithreaded environment is over.
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTime() - Static method in class edu.stanford.nlp.util.Timing
Return elapsed time on (static) timer (without stopping timer).
endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time on (static) timer (without stopping timer).
endTime(String) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time on (static) timer to System.err (without stopping timer).
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
End a "track;" that is, return to logging at one level shallower.
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
A utility method for closing calls to the anonymous startTrack() call.
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTrackIfOpen(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTracksTo(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTracksUntil(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
ENGLISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
 
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations is a set of GrammaticalRelation objects for the English language.
EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure for English.
EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Construct a new EnglishGrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Used for postprocessing CoNLL X dependencies
EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishPatterns - Class in edu.stanford.nlp.trees
This class contains some English String or Tregex regular expression patterns.
EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
 
EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
 
EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
 
enhanceConjuncts - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
ENHANCED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
ENHANCED_PLUS_PLUS_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
EnhancementOptions - Class in edu.stanford.nlp.trees.ud
Options for enhancing a basic dependency tree.
EnhancementOptions(boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
Constructor.
EnhancementOptions(EnhancementOptions) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
 
enhanceOnlyNmods - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
enhancePrepositionalModifiers - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
ensure(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils
Given a filepath, makes sure a directory exists there.
ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
ensures that counter t has all keys in keys.
ensureRealValues() - Method in class edu.stanford.nlp.classify.RVFDataset
Checks if the dataset has any unbounded values.
ensureSize() - Method in class edu.stanford.nlp.classify.Dataset
 
ensureSize() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
EntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
 
EntityMentionToCorefMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
 
EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
entropy(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the entropy of the given counter (in bits).
entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a view of the entries in this counter.
entrySet() - Method in interface edu.stanford.nlp.stats.Counter
Returns a view of the entries in this counter.
entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of entries in the GeneralizedCounter.
entrySet() - Method in class edu.stanford.nlp.stats.IntCounter
Returns a view of the doubles in this map.
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
 
entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Each element of the Set is a Map.Entry object, where getKey() returns the key of the mapping, and getValue() returns the Collection mapped to by the key.
entrySet() - Method in class edu.stanford.nlp.util.DeltaMap
This is cheap.
Env - Class in edu.stanford.nlp.semgraph.semgrex
 
Env() - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
 
Env(Map<String, Object>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
 
env - Variable in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
EOL - Static variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
The end of line string for this machine.
EOL - Static variable in exception edu.stanford.nlp.trees.tregex.ParseException
The end of line string for this machine.
EOL - Static variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
The end of line string for this machine.
eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
 
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two int[][] arrays for having equal contents.
equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
tests two int[] arrays for having equal contents
equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
equals(Object) - Method in class edu.stanford.nlp.ie.util.RelationTriple
equals(Object) - Method in class edu.stanford.nlp.ling.BasicDatum
Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord
This .equals is dependent only on docID, sentenceIndex, and index.
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
equals(Object) - Method in class edu.stanford.nlp.ling.RVFDatum
Returns whether the given RVFDatum contains the same features with the same values as this RVFDatum.
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
Equality for ValueLabels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Equality is satisfied only if the compared object is a WordLemmaTag and has String-equal word, lemma and tag fields.
equals(Object) - Method in class edu.stanford.nlp.ling.WordTag
A WordTag is equal only to another WordTag with the same word and tag values.
equals(Object) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(double, double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
Defined on map only.
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
Equality is defined over all Counter implementations.
equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Default equality comparison for two counters potentially backed by alternative implementations.
equals(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Equality comparison between two counters, allowing for a tolerance fudge factor.
equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
 
equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
 
equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
 
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
equals(Object) - Method in class edu.stanford.nlp.trees.Constituent
Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Grammatical relations are equal with other grammatical relations if they have the same shortName and specific (if present).
equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
 
equals(Object) - Method in class edu.stanford.nlp.trees.Tree
Implements equality for Tree's.
equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Implements equality for TreeGraphNodes.
equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
 
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Two CoreMaps are equal iff all keys and values are .equal.
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two double[][] arrays for having equal contents.
equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two boolean[][] arrays for having equal contents.
equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap
If the provided object is a HashableCoreMap, equality is based only upon the values of the immutable hashkeys; otherwise, defaults to behavior of the superclass's equals method.
equals(Object) - Method in class edu.stanford.nlp.util.HashIndex
 
equals(Object) - Method in class edu.stanford.nlp.util.Interval
 
equals(Object) - Method in class edu.stanford.nlp.util.IntPair
 
equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
 
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
 
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
 
equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble
Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger
Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.Pair
 
equals(Object) - Method in class edu.stanford.nlp.util.RegexStringFilter
 
equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
equals(Object) - Method in class edu.stanford.nlp.util.Triple
 
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency
Are two dependencies equal if you ignore the dependency name.
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
 
EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats
A strategy-type interface for specifying a function from Objects to their equivalence classes.
ErasureUtils - Class in edu.stanford.nlp.util
Class to gather unsafe operations into one place.
err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
 
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
err(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
errf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log to the error channel.
error(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
error(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
errorLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Run Redwood with SLF4J if available, otherwise with stderr logging at the error only level.
escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Escapes tokens from flat strings that are reserved for usage in the ATB.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which some XML special characters have been escaped.
escapeChar(String, char) - Static method in class edu.stanford.nlp.process.LexerUtils
This quotes a character with a backslash, but doesn't do it if the character is already preceded by a backslash.
escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which some the XML special characters have been escaped: just the ones that need escaping in an element content.
escapeJsonString(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
 
escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which all the XML special characters have been escaped.
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "etc" grammatical relation.
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "etc" grammatical relation.
ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
Eval - Interface in edu.stanford.nlp.parser.metrics
An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.
evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Write EvalB-readable output files.
evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
If true, then evaluation is over grammatical functions as well as the labels If false, then grammatical functions are stripped for evaluation.
evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If using a kBest eval, use this many trees.
evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
What evaluations to report and how to report them (using LexicalizedParser).
evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
Evaluates the surgery pattern against a Tree and a TregexMatcher that has been successfully matched against the tree.
evaluateAccuracy(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
Evaluate the accuracy of this classifier on the given dataset.
evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Evaluates how many words (= terminals) in a collection of trees are covered by the lexicon.
evaluatePrecisionAndRecall(GeneralDataset<L, F>, L) - Method in interface edu.stanford.nlp.classify.Classifier
Evaluates the precision and recall of this classifier against a dataset, and the target label.
Evaluator - Interface in edu.stanford.nlp.optimization
 
EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
 
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one tailed exact binomial test probability.
ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
examineIntersection(Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
ExceptionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
 
ExciseNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
Excises all nodes from the top to the bottom, and puts all the children of bottom node in where the top was.
ExciseNode(TsurgeonPattern, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
Top should evaluate to a node that dominates bottom, but this is not checked!
ExciseNode(TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
Excises only the directed node.
exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
existsInClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Check if this path exists either in the classpath or on the filesystem.
exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Exits with a given status code
exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Exits with status code 0, stopping Redwood first
exp(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns (smallest) interval that contains both this and the other interval
expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
The dependency arg is still in the full tag space.
expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
expandEnvironmentVariables(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME) with its actual environment variable from the passed environment specification.
expandEnvironmentVariables(String) - Static method in class edu.stanford.nlp.util.StringUtils
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME) with its actual environment variable from System.getenv().
expandToInclude(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
expectedTokenSequences - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
Each entry in this array is an array of integers.
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "expletive" grammatical relation.
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "expletive" grammatical relation.
ExtensionFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that uses file extensions to filter files.
ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
Sets up Extension file filter by specifying an extension to accept (currently only 1) and whether to also display folders for recursive search.
ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
Sets up an extension file filter that will recurse into sub directories.
extra() - Method in class edu.stanford.nlp.trees.TypedDependency
 
extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
 
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
 
extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.SentenceUtils
Returns the substring of the sentence from start (inclusive) to end (exclusive).
Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
 
extractPrefixedProperties(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Build a Properties object containing key-value pairs from the given data where the keys are prefixed with the given prefix.
extractPrefixedProperties(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Build a Properties object containing key-value pairs from the given data where the keys are prefixed with the given prefix.
extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
 
extractSelectedProperties(Properties, Set<String>) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Build a Properties object containing key-value pairs from the given properties whose keys are in a list to keep.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.

F

f1(int, int, int) - Static method in class edu.stanford.nlp.classify.PRCurve
 
FactoredLexicon - Class in edu.stanford.nlp.parser.lexparser
 
FactoredLexicon(MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
FactoredLexicon(Options, MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
FactoredLexiconEvent - Class in edu.stanford.nlp.parser.lexparser
 
FactoredLexiconEvent(int, int, int, int, int, String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
factorial(int) - Static method in class edu.stanford.nlp.math.SloppyMath
Uses floating point so that it can represent the really big numbers that come up.
factory - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
factory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
Returns a factory for FrenchTokenizer.
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
factory - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
recommended factory method
factory(LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
factory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
factory - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.ling.CategoryWordTag
Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.CoreLabel
Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.IndexedWord
 
factory() - Static method in class edu.stanford.nlp.ling.LabeledWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.StringLabel
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.TaggedWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Word
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.WordTag
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
This is a historical constructor that returns Word tokens.
factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Get a TokenizerFactory that does Penn Treebank tokenization.
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
factory(WordSegmenter) - Static method in class edu.stanford.nlp.process.WordSegmentingTokenizer
 
factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.NamedDependency
 
factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.SimpleTree
Return a TreeFactory that produces trees of the SimpleTree type.
factory() - Static method in class edu.stanford.nlp.trees.TreeGraphNode
Return a TreeFactory that produces trees of type TreeGraphNode.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
Return a TreeFactory that produces trees of type TreeGraphNode, with the Label made by the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
factory() - Static method in class edu.stanford.nlp.trees.UnnamedDependency
 
Factory<T> - Interface in edu.stanford.nlp.util
A generified factory class which creates instances of a particular type.
fail(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Create a RuntimeException with arguments
fail() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Create a new RuntimeException with no arguments
fastFactoredCandidateAddend - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
This variable says to find k good factored parses, how many added on best PCFG parses should be examined.
fastFactoredCandidateMultiplier - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
This variable says to find k good fast factored parses, how many times k of the best PCFG parses should be examined.
fatal(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
fatal(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
FEATURE_SEP - Static variable in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
featureIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
featureIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
featureIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
featureIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
FeatureNameComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.FeatureNameComparator
 
features() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
featureStr() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
featureValue(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
Featurizable<F> - Interface in edu.stanford.nlp.ling
Interface for Objects that can be described by their features.
FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
FetchNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
FetchNode(String) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.FetchNode
 
file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
file(String) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
file(File) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
FileHandler(String) - Constructor for class edu.stanford.nlp.util.logging.Redwood.FileHandler
 
fileNameClean(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a "clean" version of the given filename in which spaces have been converted to dashes and all non-alphanumeric chars are underscores.
FilePathProcessor - Class in edu.stanford.nlp.util
The FilePathProcessor traverses a directory structure and applies the processFile method to files meeting some criterion.
FileProcessor - Interface in edu.stanford.nlp.util
Interface for a Visitor pattern for Files.
fill(double[][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(double[][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(double[][][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fillOptions(Class<?>[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static options in the given set of classes, as defined by the given properties.
fillOptions(Class<?>[], Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static ArgumentParser.Option-tagged fields in the given classes with the given Properties.
fillOptions(Class<?>[], String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate with the given command-line arguments all static ArgumentParser.Option-tagged fields in the given classes.
fillOptions(Class<?>, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static options in the given class, as defined by the given properties.
fillOptions(Class<?>, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static options in the given class, as defined by the given properties.
fillOptions(Class<?>, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static options in the given class, as defined by the given command-line arguments.
fillOptions(Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate with the given properties all static options in all classes in the current classpath.
fillOptions(String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate with the given command-line arguments all static options in all classes in the current classpath.
fillOptions(Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static ArgumentParser.Option-tagged fields in the given classes with the given Properties.
fillOptions(Object[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Fill all non-static ArgumentParser.Option-tagged fields in the given set of objects with the given properties.
fillOptions(Object[], String[]) - Static method in class edu.stanford.nlp.util.ArgumentParser
Fill all non-static ArgumentParser.Option-tagged fields in the given set of objects with the given command-line arguments.
fillOptions(Object, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Fill all non-static ArgumentParser.Option-tagged fields in the given object with the given properties.
fillOptions(Object, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Populate all static options in the given class, as defined by the given properties.
fillOptions(Object, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser
Fill all non-static ArgumentParser.Option-tagged fields in the given object with the given command-line arguments.
fillOptions(Object, String, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser
Fill all the options for a given subcomponent.
filter(T[], Predicate<? super T>) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns an array with only the elements accepted by filter
Implementation notes: creates two arrays, calls filter once for each element, does not alter original
filter(E[], Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Applies the given filter to each of the given elements, and returns the array of elements that were accepted.
filterAsList(Collection<? extends T>, Predicate<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Filters the objects in the collection according to the given Filter and returns a list.
FilteredIterator<T> - Class in edu.stanford.nlp.util
Iterator that suppresses items in another iterator based on a filter function.
FilteredIterator(Iterator<T>, Predicate<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
 
FilterHandler - Class in edu.stanford.nlp.util.logging
Basic support for filtering records via LogFilter objects.
FilterHandler(List<LogFilter>, boolean) - Constructor for class edu.stanford.nlp.util.logging.FilterHandler
 
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
FilteringTreeReader - Class in edu.stanford.nlp.trees
A FilteringTreeReader filters the output of another TreeReader.
FilteringTreeReader(TreeReader, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreeReader
 
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
Filters - Class in edu.stanford.nlp.util
Static class with some useful Predicate implementations and utility methods for working with Predicates.
Filters.ConjFilter<T> - Class in edu.stanford.nlp.util
Conjunction of a list of filters.
Filters.DisjFilter<T> - Class in edu.stanford.nlp.util
Disjunction of a list of filters.
Filters.RandomFilter<E> - Class in edu.stanford.nlp.util
A filter that accepts a random fraction of the input it sees.
find() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Find the next match of the pattern in the graph.
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Find the next match of the pattern on the tree.
find(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found inside this String.
findAllRelns(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Given a semantic graph, and a target relation, returns a list of all relations (edges) matching.
findAllRelns(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Given a semantic graph, and the short name of a target relation, returns a list of all relations (edges) matching.
findAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Similar to find(), but matches only if node is the root of the match.
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
A way for subclasses for corpora with explicit head markings to return the explicitly marked head
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
Predicatively marked elements in a sentence should be noted as heads
findMarkedHead(Tree[]) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
findNextMatchingNode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Find the next match of the pattern in the graph such that the matching node (that is, the node matching the root node of the pattern) differs from the previous matching node.
findNextMatchingNode() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Find the next match of the pattern on the tree such that the matching node (that is, the tree node matching the root node of the pattern) differs from the previous matching node.
findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
return either the first space or the first nbsp
FineGrainedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FineGrainedNamedEntityTagAnnotation
 
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood
Signal that this thread will not log any more messages in the multithreaded environment
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Done collecting statistics for the lexicon.
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Returns the trained UWM.
finishTraining() - Method in interface edu.stanford.nlp.process.WordSegmenter
 
finiteDifferenceStepSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
finiteDifferenceStepSize - this is the fixed step size for the finite difference approximation.
first - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
 
first - Variable in class edu.stanford.nlp.util.Triple
 
first() - Method in class edu.stanford.nlp.util.Triple
 
firstChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the first child of a tree, or null if none.
FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
firstKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
FixedPrioritiesPriorityQueue<E> - Class in edu.stanford.nlp.util
A priority queue based on a binary heap.
FixedPrioritiesPriorityQueue() - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
FixedPrioritiesPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
flatten(Map<E2, Counter<E>>) - Static method in class edu.stanford.nlp.stats.Counters
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
flatten() - Method in class edu.stanford.nlp.trees.Tree
Return a flattened version of a tree.
flatten(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Return a flattened version of a tree.
flatten(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
flatten(Collection<List<T>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Combines all the lists in a collection to a single list.
flattenTree(Tree) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Returns the string associated with the input parse tree.
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
FloatFunction - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
floatValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
flush() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
flush() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
flush() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
flush() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
fmeasure(int, int) - Method in class edu.stanford.nlp.classify.PRCurve
the f-measure if we just guess as negative the first numleft and guess as positive the last numright
fmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the f-measure at this recall if we look at the score as the probability of class 1 given x as if coming from logistic regression same as logPrecision but calculating f-measure
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
force() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
Returns whether this log message wants to be forced to be printed
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
forceCNF - Variable in class edu.stanford.nlp.parser.lexparser.Options
Forces parsing with strictly CNF grammar -- unary chains are converted to XP&YP symbols and back
ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
ForcedSentenceUntilEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
 
forceTagBeginnings - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
forceTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Parse using only tags given from correct answer or the POS tagger
forceTrack(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood
Helper method to start a track on the FORCE channel.
forceTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
Helper method to start an anonymous track on the FORCE channel.
forceTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
format(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
format(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Format a channel
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
Ensure that we don't print duplicate channels when adapting to another logging framework.
formatSemanticGraph(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
Returns a pretty-printed string representation of the given semantic graph, on one or more lines.
formatTimeDifference(long, StringBuilder) - Static method in class edu.stanford.nlp.util.logging.Redwood
Utility method for formatting a time difference (maybe this should go to a util class?)
formatTimeDifference(long) - Static method in class edu.stanford.nlp.util.logging.Redwood
 
formResult() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
formResult() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
fractionBeforeUnseenCounting - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Start to aggregate signature-tag pairs only for words unseen in the first this fraction of the data.
FragDiscardingPennTreeReader - Class in edu.stanford.nlp.trees.international.pennchinese
 
FragDiscardingPennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
 
freeDependencies - Variable in class edu.stanford.nlp.parser.lexparser.Options
if true, any child can be the head (seems rather bad!)
FRENCH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
 
FrenchAOverAFilter() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
 
FrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
TODO wsg2010: Compare these head finding rules to those found in Arun Abishek's master's thesis.
FrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
 
FrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
 
FrenchMorphoFeatureSpecification - Class in edu.stanford.nlp.international.french
If MorphoFeatureType.OTHER is active, then the "CC tagset" is produced (see Tbl.2 of (Crabbe and Candito, 2008).
FrenchMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
FrenchTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
Tokenizer for raw French text.
FrenchTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean) - Constructor for class edu.stanford.nlp.international.french.process.FrenchTokenizer
Constructor.
FrenchTokenizer.FrenchTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
A factory for French tokenizer instances.
FrenchTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.french
Language pack for the French treebank.
FrenchTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
FrenchTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
TreebankLangParserParams for the French Treebank corpus.
FrenchTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
FrenchTreeNormalizer - Class in edu.stanford.nlp.trees.international.french
Prepares French Treebank trees for parsing.
FrenchTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
 
FrenchTreeNormalizer.FrenchAOverAFilter - Class in edu.stanford.nlp.trees.international.french
 
FrenchTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
 
FrenchXMLTreeReader - Class in edu.stanford.nlp.trees.international.french
A reader for XML format French Treebank files.
FrenchXMLTreeReader(Reader, boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
Read parse trees from a Reader.
FrenchXMLTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
Read parse trees from a Reader.
FrenchXMLTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchXMLTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
 
FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
from(E) - Static method in class edu.stanford.nlp.util.Lazy
Create a degenerate Lazy, which simply returns the given pre-computed value.
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
 
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
 
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
 
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
 
fromJavaUtilLogging(Logger) - Static method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
 
fromMap(Map<E, N>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter view of the given map.
fromMap(Map<E, N>, Class<N>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter view of the given map.
fromPair(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
A silly translation between a pair and a span.
fromPair(IntPair) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
Another silly translation between a pair and a span.
fromPairOneIndexed(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
A silly translation between a pair and a span.
fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
Converts from the format printed by the toString method back into a Counter<String>.
fromString(String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Convert from String to Properties.
fromStringReps(List<String>, List<String>, List<String>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Create a grammatical structure from its string representation.
fromTagString(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
fromTagString(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
Assumes that the tag string has been formed using a call to getTag().
fromValues(int, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
Safe way to construct Spans if you're not sure which value is higher.
fromValues(Object...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
FTB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
FTB_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
ftbFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
Returns a factory for FrenchTokenizer that replicates the tokenization of Green, de Marneffe, and Manning (2011).
FULLWIDTH - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
Function - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
FW_ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
FW_ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 

G

gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
gain - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gainSchedule(int, double) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Approximation to gamma function.
gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gappingTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
 
GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
gen - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
GenderAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
 
GeneralDataset<L,F> - Class in edu.stanford.nlp.classify
The purpose of this interface is to unify Dataset and RVFDataset.
GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
 
GeneralizedCounter<K> - Class in edu.stanford.nlp.stats
A class for keeping double counts of Lists of a prespecified length.
GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter
Constructs a new GeneralizedCounter of a specified depth
GeneralizedExpectationObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Implementation of Generalized Expectation Objective function for an I.I.D.
GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) - Constructor for class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateCCProcessedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateCollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
generateEnhancedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an enhanced dependencies SemanticGraph.
generateEnhancedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an enhanced dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an enhanced++ dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an enhanced++ dependencies SemanticGraph.
generateOriginalDependencies - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
generateOriginalDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Whether to generate original Stanford Dependencies or the newer Universal Dependencies.
generateOriginalDependencies - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
For languages where a Universal Dependency converter exists this variable determines whether the original or the Universal converter will be used.
generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
generateOriginalDependencies() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Used for languages where an original Stanford Dependency converter and a Universal Dependency converter exists.
generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
Generics - Class in edu.stanford.nlp.util
A collection of utilities to make dealing with Java generics less painful and verbose.
GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
GERMAN_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
 
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
get(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
 
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns the value associated with the given key or null if none is provided.
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
get(Object) - Method in class edu.stanford.nlp.util.DeltaMap
This may cost twice what it would in the original Map.
get(int) - Method in class edu.stanford.nlp.util.HashIndex
Gets the object whose index is the integer argument.
get(int) - Method in interface edu.stanford.nlp.util.Index
Gets the object whose index is the integer argument.
get(int) - Method in class edu.stanford.nlp.util.IntTuple
 
get() - Method in class edu.stanford.nlp.util.Lazy
Get the value of this Lazy, computing it if necessary.
get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Get the value of a property and automatically cast it to a specific type.
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the value associated with the given key or null if none is provided.
getAccCoverage() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
getAcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "acl" grammatical relation.
getAcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
 
getAdvcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "advcl" grammatical relation.
getAdvcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all values corresponding to the indices (if they exist in the map).
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.Maps
get all values corresponding to the indices (if they exist in the map)
getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
 
getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getAllNodesByPartOfSpeechPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns all nodes of type IndexedWord in this SemanticGraph having the given word or regex, or returns empty list if no such found.
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
 
getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
An alternate tag form than the one produced by getTag().
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
getAnnotationString(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Build a string of annotations for the given tree.
getArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils
Strip directory from filename.
getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Strip directory and suffix from filename.
getBaseName(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Strip directory and suffix from the given name.
getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory method.
getBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
getBatch is used to generate the next sequence of indices to be passed to the actual function.
getBegin() - Method in class edu.stanford.nlp.util.Interval
Returns the start point.
getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser
Returns a best parse of the last sentence on which parse was called, or null if none exists.
getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Gets the score (typically a log probability) of the best parse of a sentence.
getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a boolean property.
getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a boolean property.
getBooleanArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
Deprecated.
Just call readerFromString(filename)
getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Deprecated.
Just call readerFromString(filename)
getBZip2PipedInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBZip2PipedOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getC() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Get the C parameter (for the slack variables) for training the SVM.
getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction method.
getCharacterNgrams(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
Build a list of character-based ngrams from the given string.
getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
What are the Characters with this primary radical?
getChild(int) - Method in class edu.stanford.nlp.trees.Tree
Return the child at some daughter index.
getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the neighbors
getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
getChildren() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
Returns a List of children for the current node.
getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all children bearing a certain grammatical relation, or an empty set if none.
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all children bearing one of a set of grammatical relations, or an empty set if none.
getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedFeatureLabel bearing a certain grammatical relation, or null if none.
getClassifier(String) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
Return a new ColumnDataClassifier object based on a serialized object.
getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
Return a new ColumnDataClassifier object based on a serialized object.
getClassifier() - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
 
getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
getComments() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Return the list of comments stored with this graph.
getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the least common ancestor.
getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conj" grammatical relation.
getConj(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "conj" grammatical relation.
getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getConjs() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
getConnectedComponents(Graph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
 
getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
 
getConverterOptions(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCopy() - Method in class edu.stanford.nlp.util.IntPair
 
getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getCopy() - Method in class edu.stanford.nlp.util.IntTriple
 
getCopy() - Method in class edu.stanford.nlp.util.IntTuple
 
getCopy() - Method in class edu.stanford.nlp.util.IntUni
 
getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the count for this key as a double.
getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter
Returns the count for this key as a double.
getCount(E) - Method in class edu.stanford.nlp.stats.Distribution
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o}); works only for depth 1 GeneralizedCounters
getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCounter() - Method in class edu.stanford.nlp.stats.Distribution
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getCounts(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a double[] array of length depth+1, containing the conditional counts on a depth-length list given each level of conditional distribution from 0 to depth.
getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank
Returns the absolute path of the file currently being read.
getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
 
getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
 
getDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getDeleteTempFilesOnExitFlag() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Returns a description of what extension is being used (for file choosers).
getDescription(int) - Method in class edu.stanford.nlp.stats.AccuracyStats
 
getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
getDescription(int) - Method in interface edu.stanford.nlp.stats.Scorer
 
getDiag(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getDirPath(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Get the value of a property as a path to a directory.
getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Distribution from the given counter, ie makes an internal copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
 
getdot() - Method in class edu.stanford.nlp.math.DoubleAD
 
getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a double property.
getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a double property.
getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of doubles from Properties.
getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Given a governor, dependent, and the relation between them, returns the SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
 
getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return the charset encoding of the Treebank.
getEnd() - Method in class edu.stanford.nlp.util.Interval
Returns the end point.
getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
This is hardwired to calculate the split categories from English Penn Treebank sections 2-21 with a default cutoff of 300 (as used in ACL03PCFG).
getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
 
getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get extra dependencies that do not depend on the tree structure, but rather only depend on the existing dependency structure.
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that read the contents of the given Reader, splits on the specified delimiter, then returns the result.
getFactory(String, Function<String, T>) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that reads the contents of the given Reader, splits on the specified delimiter, applies op, then returns the result.
getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator
Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator
Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in interface edu.stanford.nlp.stats.Counter
Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getFCounter(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
getFeatureCount(double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold (across all labels).
getFeatureCount(Set<L>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCount(F) - Method in class edu.stanford.nlp.ling.RVFDatum
 
getFeatureCounter() - Method in class edu.stanford.nlp.classify.Dataset
Get Number of datums a given feature appears in.
getFeatureCountLabelIndices(Set<Integer>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCounts() - Method in class edu.stanford.nlp.classify.GeneralDataset
Get the total count (over all data instances) of each feature
getFeatureCounts() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
getFeatureIndex() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
Get a output file stream (automatically gzip/bzip2 depending on file extension)
getFileOutputStream(String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
 
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the E with the highest priority and returns it, without modifying the queue.
getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns the highest-priority element without removing it from the queue.
getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
Finds the object with the highest priority and returns it, without modifying the queue.
getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getFirstNonNullAttributeFromList(List<String>) - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
Given a list of attributes, return the first one that is non-null
getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the (first) root of this SemanticGraph.
getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getFolds() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
For getting the instance that global methods use.
getGlobal() - Static method in class edu.stanford.nlp.util.Interner
For getting the instance that global methods use.
getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep.
getGrammaticalRelation(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep.
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Build a GrammaticalStructure from a Tree.
getGraph() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the graph associated with this match.
getHeadFinder() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
 
getHeldOutPercent() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getIfDefined() - Method in class edu.stanford.nlp.util.Lazy
Get the value of this Lazy if it's been initialized, or else return null.
getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it should just be the degree
getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns the index of the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns the index of the first occurrence after the startIndex (exclusive) in the list of the specified object, using object equals function.
getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the input encoding being used.
getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns the input encoding being used.
getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Locates this file either using the given URL, or in the CLASSPATH, or in the file system The CLASSPATH takes priority over the file system! This stream is buffered and gunzipped (if necessary).
getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
getInstance() - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Singleton pattern function for getting a default verb stripper.
getInstance(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Singleton pattern function for getting a verb stripper based on the dictionary at dictPath.
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
A method for getting a singleton instance of this class.
getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property.
getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property.
getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of integers from Properties.
getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getInterval() - Method in interface edu.stanford.nlp.util.HasInterval
Returns the interval
getInterval() - Method in class edu.stanford.nlp.util.Interval
Returns this interval.
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
Return an iterator over the contents read from r.
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Same as getTokenizer().
getIterator(Reader) - Method in class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
 
getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils
A JavaNLP specific convenience routine for obtaining the current scratch directory for the machine you're currently running on.
getJustification() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get the exact k best parses for the sentence.
getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get k good parses for the sentence.
getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get k parse samples for the sentence.
getL1NormalizedTFIDFDataset() - Method in class edu.stanford.nlp.classify.Dataset
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) - Method in class edu.stanford.nlp.classify.Dataset
Method to convert features from counts to L1-normalized TFIDF based features
getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Returns a function which takes a tree with any label class where the labels might have an interesting description, such as a CategoryWordTag which goes "cat [T/W]", and returns a new tree with CoreLabels which contain the toString() of each of the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Return a Function that maps from StringLabel labeled trees to LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Return an Function that maps from Label-labeled trees (any implementing class) to LabeledScored trees with a StringLabel label.
getLabelForInternalNegativeClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getLabelForInternalPositiveClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns indices of labels
getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getLanguage() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Get the language of the grammatical relation.
getLanguageFromString(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
convert various input strings to language enum
getLanguageProperties(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
return an actual properties object for a given language
getLanguagePropertiesFile(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
return the properties file name for a specific language
getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
Gets the ith leaf of a tree from the left.
getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getLeaves() - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Returns the lexicon used by this unknown word model.
getLineIterable(Reader, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Given a reader, returns the lines from the reader as an Iterable.
getLineIterable(Reader, int, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
 
getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
 
getListComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property as a long.
getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the node of a tree which represents the lowest common ancestor of nodes t1 and t2 dominated by root.
getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder
Returns the "collocations included" parse tree.
getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
getMap() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
getMatch() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Get the last matching node -- that is, the node that matches the root node of the pattern.
getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMemoryInUse() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the number of megabytes (MB) of memory in use.
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
 
getName() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
getName() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
Returns the full class name for the objects being produced
getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Gets both parents and children nodes
getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
 
getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns the string literal inserted for newlines when the -tokenizeNLs options is set.
getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
getNext() - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
 
getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
Internally fetches the next token.
getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
n grams for already split string.
getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
n grams for already split string.
getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
The string is split on whitespace and the ngrams are joined with a single space
getNmod(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "nmod" grammatical relation.
getNmods() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
getNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the node labeled with name in the pattern.
getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Returns the node labeled with name in the pattern.
getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCount(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCountSafe(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedWord in this SemanticGraph having the given word or regex, or return null if no such found.
getNodeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the set of names for named nodes in this pattern.
getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
 
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
Fetches the ith node in the tree, with node numbers defined as in Tree.nodeNumber(Tree).
getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
This has been de-deprecated in order to reduce compilation warnings, but really you should create a Distribution instead of using this method.
getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
 
getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
 
getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
 
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
getObl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "obl" grammatical relation.
getObls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
getOperationFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses a tsurgeon script text input and compiles a tregex pattern and a list of tsurgeon operations into a pair.
getOperationsFromFile(String, String, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses a tsurgeon script file and compiles all operations in the file into a list of pairs of tregex and tsurgeon patterns.
getOperationsFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses and compiles all operations from a BufferedReader into a list of pairs of tregex and tsurgeon patterns.
getOriginal() - Method in class edu.stanford.nlp.ling.IndexedWord
 
getOriginalStem() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
Returns the original stem of the verb, simply split off from pronouns.
getOutDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getOutDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
 
getOutEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getOutgoingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getOutgoingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the edges from the node
getOutputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the output encoding being used.
getOutputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns the output encoding being used.
getOutputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
getParent(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Return the real syntactic parent of vertex.
getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the parent of this GrammaticalRelation.
getParentList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getParents(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getParents(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the neighbors
getParents(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getParentsWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all parents bearing a certain grammatical relation, or an empty set if none.
getParentsWithReln(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all parents bearing a certain grammatical relation, or an empty set if none.
getPathToRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Find the path from the given node to a root.
getPerturbedDistribution(Counter<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
getPerturbedUniformDistribution(Collection<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
getPID() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the process ID, via an awful hack.
getPIDNoExceptions() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the process ID, via an awful hack, or else -1.
getPOSDistribution() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all prefix/suffix combinations from a list.
getPrep(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prep" grammatical relation.
getPrepC(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepc" grammatical relation.
getPreps() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getPrepsC() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getPreTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
gets the nth preterminal in tree.
getPrintWriter(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriterIgnoringExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriterOrDie(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue (without modifying the queue).
getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Get the priority of a key.
getPriority(Object) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Note that this method will be linear (not constant) time in this implementation! Better not to use it.
getPriority() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority() - Method in interface edu.stanford.nlp.util.PriorityQueue
Gets the priority of the highest-priority element of the queue (without modifying the queue).
getPriority(E) - Method in interface edu.stanford.nlp.util.PriorityQueue
Get the priority of a key.
getProbabilities() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
Returns the probabilities allocated to each type, according to their count in the underlying collection.
getProbabilityForUnseen() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
Returns the probability allocated to types not seen in the underlying collection.
getPronouns() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
 
getPunctClass(String) - Static method in class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
Return the equivalence class of the argument.
getRadical(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
What is the primary radical of this char?
getRadius(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
 
getRandomSubDataset(double, int) - Method in class edu.stanford.nlp.classify.Dataset
 
getRegularizerParamRange(double[]) - Method in interface edu.stanford.nlp.optimization.HasRegularizerParamRange
 
getRelatedNodes(TreeGraphNode, TreeGraphNode, HeadFinder) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Given a Tree node t, attempts to return a list of nodes to which node t has this grammatical relation, with t as the governor.
getRelation() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns the relationship of this interval to the other interval The most specific relationship from the following is returned.
getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Return set of flags indicating possible relationships between this interval and another interval.
getRelationNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the set of names for named relations in this pattern.
getRelnString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
 
getReservedMass() - Method in class edu.stanford.nlp.stats.Distribution
 
getReverseMap() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Returns a reversed map of the current map.
getRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getRoots(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Return a list of TypedDependencies which are not dependent on any node from the list.
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
 
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getRVFDatumId(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getRVFDatumSource(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getRVFDatumWithId(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getSample(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Gets a random sample (this is sampling with replacement).
getScore() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getScorer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getSecondKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getSegmenterDataFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getSegmenterDataFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getSentAveF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a short class name for an object.
getShortestDirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getShortestDirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the shortest directed path between two edges in the graph.
getShortestPath(Graph<V, E>, V, V, boolean) - Static method in class edu.stanford.nlp.graph.DijkstraShortestPath
 
getShortestPath(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
direction insensitive (the paths can go "up" or through the parents)
getShortestPath(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
can specify the direction sensitivity
getShortestPathEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getShortestPathEdges(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getShortestUndirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getShortestUndirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the nodes in the shortest undirected path between two edges in the graph.
getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getSiblings(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Method for getting the siblings of a particular node.
getSigma() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
getSigma() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSigmaSquared() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSigmaSquaredM() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSignature(String, int) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
This routine returns a String that is the "signature" of the class of a word.
getSignature(String, Properties, PropertiesUtils.Property[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getSignature(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getSignatureIndex(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Returns an unknown word signature as an integer index rather than as a String.
getSortedEntries(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getSource() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getSource() - Method in class edu.stanford.nlp.util.IntPair
Return the first element of the pair
getSource() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getSource() - Method in class edu.stanford.nlp.util.IntTriple
 
getSource() - Method in class edu.stanford.nlp.util.IntUni
 
getSpan() - Method in class edu.stanford.nlp.trees.Tree
Returns SpanAnnotation of this node, or null if annotation is not assigned.
getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getSplitCategories(Treebank, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Call this method to get a String array of categories to split on.
getStackTraceString(Throwable) - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the string value of the stack trace for the given Throwable.
getStem() - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
Return the normalized stem of the verb -- the way it would appear in isolation without attached pronouns.
getStopProb(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Return the probability (as a real number between 0 and 1) of stopping rather than generating another argument at this position.
getString(Class<KEY>) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
getString(Class<KEY>, String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
getString(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Get the value of a property.
getStringArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of strings from Properties.
getStringArray(Properties, String, String[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getStringRepresentationComparator() - Static method in class edu.stanford.nlp.util.Comparators
A Comparator that compares objects by comparing their String representations, as determined by invoking toString() on the objects in question.
getSubgraphVertices(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns all nodes reachable from root.
getSubListIndex(Object[], Object[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
getSubListIndex(Object[], Object[], Predicate<Pair>) - Static method in class edu.stanford.nlp.util.ArrayUtils
If tofind is a part of tokens, it finds the ****starting index***** of tofind in tokens If tofind is not a sub-array of tokens, then it returns null note that tokens sublist should have the exact elements and order as in tofind
getSvmLightVerbosity() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTag(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
getTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
Build a POS tag consisting of a base category plus inflectional features.
getTagElementsFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTagElementTriplesFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the elements in the given file with the given tag associated with the text content of the two previous siblings and two next siblings.
getTagElementTriplesFromFileNumBounded(File, String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the elements in the given file with the given tag associated with the text content of the previous and next siblings up to max numIncludedSiblings.
getTagElementTriplesFromFileNumBoundedSAXException(File, String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the elements in the given file with the given tag associated with the text content of the previous and next siblings up to max numIncludedSiblings.
getTagElementTriplesFromFileSAXException(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the elements in the given file with the given tag associated with the text content of the two previous siblings and two next siblings.
getTarget() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getTarget() - Method in class edu.stanford.nlp.util.IntPair
Return the second element of the pair
getTarget() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getTarget() - Method in class edu.stanford.nlp.util.IntTriple
 
getTarget2() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
gets the nth terminal in tree.
getText(Label) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
getTextContentFromTagsFromFile(File, String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTimestampString(String) - Static method in class edu.stanford.nlp.util.SystemUtils
Returns a String representing the current date and time in the given format.
getTimestampString() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns a String representing the current date and time in the format "20071022-140522".
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.process.TokenizerFactory
Get a tokenizer for this reader.
getTokenizer(Reader, String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
Get a tokenizer for this reader.
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Gets a tokenizer from a reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a factory for PTBTokenizer.
getTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a tokenizer factory which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTopFeatures(double, boolean, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold (list is descending and across all labels).
getTopFeatures(Set<L>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold
getTopFeaturesLabelIndices(Set<Integer>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Look through the tree t and adds to the List basicDep additional dependencies which aren't in the List but which satisfy the filter puncTypedDepFilter.
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
 
getTrees(String, int, int, int, int) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
getTregexPatternFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes that we are at the beginning of a tsurgeon script file and gets the string for the tregex pattern leading the file.
getTsurgeonOperationsFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses these out, collecting them into one operation.
getTsurgeonTextFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns them as a String, mirroring the way the strings appear in the file.
getTuneCV() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTuneHeldOut() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTuneMinimizer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getType(String) - Static method in class edu.stanford.nlp.classify.LogPrior
 
getType() - Method in class edu.stanford.nlp.classify.LogPrior
 
getType() - Method in interface edu.stanford.nlp.ling.CoreAnnotation
Returns the type associated with this annotation.
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FineGrainedNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsFirstWordOfMWTAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsMultiWordTokenAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsNewlineAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.KBPTriplesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MWTTokenTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagProbsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PresetAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotationIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotationsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotedAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.QuotesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StatementTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnclosedQuotationsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UseMarkedDiscourseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WikipediaEntityAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagLabelAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordLabelAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.KBestTreesAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
getTypedDependencyChains(List<TypedDependency>, int) - Static method in class edu.stanford.nlp.trees.Dependencies
 
getUniformDistribution(Collection<E>) - Static method in class edu.stanford.nlp.stats.Distribution
 
getUnknownLevel() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Get the level of equivalence classing for the model.
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getUnknownWordModel() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
getUrlEncoding(URLConnection) - Static method in class edu.stanford.nlp.io.IOUtils
 
getUseSigma() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Get whether or not to train an overlying platt (sigmoid) model for producing meaningful probabilities.
getval() - Method in class edu.stanford.nlp.math.DoubleAD
 
getValidatingXmlParser(File) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a validating XML parser given an XSD (not DTD!).
getValue(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
getValue() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
getValuesArray() - Method in class edu.stanford.nlp.classify.Dataset
 
getValuesArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getValuesArray() - Method in class edu.stanford.nlp.classify.RVFDataset
 
getValueType(Class<? extends CoreAnnotation<?>>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns the runtime value type associated with the given key.
getVariableString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
If there is a current match, and that match involves setting this particular variable string, this returns that string.
getVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getVariance(double[], int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getWeight() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getWeights() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getWeights() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
getWeights() - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
Get the weight array for this dataset.
getWeights(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getXmlParser() - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a non-validating XML parser.
getYYEOF() - Method in interface edu.stanford.nlp.io.Lexer
returns value for YYEOF
gfCharacter - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Default character for indicating that something is a grammatical fn; probably should be overridden by lang specific ones
globalIntern(T) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Returns a unique object o' that .equals the argument o.
globalIntern(T) - Static method in class edu.stanford.nlp.util.Interner
Returns a unique object o' that .equals the argument o.
globalMutex - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
GOES_WITH - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "goes with" grammatical relation.
GOES_WITH - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "goes with" grammatical relation.
GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
GoldenSectionLineSearch - Class in edu.stanford.nlp.optimization
A class to do golden section line search.
GoldenSectionLineSearch(double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean, double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean, double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
goodTuringSmoothedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Good-Turing smoothed Distribution from the given counter.
goodTuringWithExplicitUnknown(Counter<E>, E) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Good-Turing smoothed Distribution from the given counter without creating any reserved mass-- instead, the special object UNK in the counter is assumed to be the count of "UNSEEN" items.
gov() - Method in class edu.stanford.nlp.trees.TypedDependency
 
governor() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the governor (regent/head) of the dependency relation.
GOVERNOR - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
The "governor" grammatical relation, which is the inverse of "dependent".
governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
govToDepMap(List<TypedDependency>) - Static method in class edu.stanford.nlp.trees.Dependencies
 
gPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
This variable controls doing 2 levels of parent annotation.
gpaAD - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Grandparent annotate all AD.
gpaRootVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Grand-parent annotate (root mark) VP below ROOT.
grad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradientCheck() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
gradientCheck(int, int, double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
gradList - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
GrammaticalRelation - Class in edu.stanford.nlp.trees
GrammaticalRelation is used to define a standardized, hierarchical set of grammatical relations, together with patterns for identifying them in parse trees.
GrammaticalRelation(Language, String, String, GrammaticalRelation, String, TregexPatternCompiler, String...) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(Language, String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(Language, String, String, GrammaticalRelation, String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure stores dependency relations between nodes in a tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, TreeTransformer, HeadFinder, Predicate<String>, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
Create a new GrammaticalStructure, analyzing the parse tree and populate the GrammaticalStructure with as many labeled grammatical relation arcs as possible.
GrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
 
GrammaticalStructure.Extras - Enum in edu.stanford.nlp.trees
A specification for the types of extra edges to add to the dependency tree.
GrammaticalStructureConversionUtils - Class in edu.stanford.nlp.trees
Contains several utility methods to convert constituency trees to dependency trees.
GrammaticalStructureConversionUtils.ConverterOptions - Enum in edu.stanford.nlp.trees
Enum to identify the different TokenizerTypes.
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory - Interface in edu.stanford.nlp.trees
A general factory for GrammaticalStructure objects.
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
 
grammaticalStructureFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFromDependenciesFactory - Interface in edu.stanford.nlp.trees
An interface for a factory that builds a GrammaticalStructure from a list of TypedDependencies and a TreeGraphNode.
GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
Graph<V,E> - Interface in edu.stanford.nlp.graph
 
GREEN - Static variable in class edu.stanford.nlp.classify.ClassifierExample
 
GREEN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 

H

handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
For BooleanLogRecordHandler, you should leave this alone and implement propagateRecord instead.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RerouteChannel
 
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Handle a log Record, either as a filter or by producing a side effect.
handleDashes(String, LexerUtils.DashesEnum) - Static method in class edu.stanford.nlp.process.LexerUtils
 
handleEllipsis(String, LexerUtils.EllipsesEnum) - Static method in class edu.stanford.nlp.process.LexerUtils
 
handleQuotes(String, boolean, LexerUtils.QuotesEnum) - Static method in class edu.stanford.nlp.process.LexerUtils
 
handlers(RedwoodConfiguration.Thunk...) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Add handlers to Redwood.
Handlers() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
HasCategory - Interface in edu.stanford.nlp.ling
Something that implements the HasCategory interface knows about categories.
HasChannel(Object) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.HasChannel
 
hasChild(IndexedWord, GrammaticalRelation, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Does the given vertex have at least one child with the given reln and the lemma childLemma?
hasChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
hasChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Does the given vertex have at least one child with the given reln?
HasContext - Interface in edu.stanford.nlp.ling
 
HasEvaluators - Interface in edu.stanford.nlp.optimization
Indicates that an minimizer supports evaluation periodically
hasFeature(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
HASH_MAP_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
HASH_MAP_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_SET_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
HASH_SET_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
 
HashableCoreMap - Class in edu.stanford.nlp.util
An extension of ArrayCoreMap with an immutable set of key,value pairs that is used for equality and hashcode comparisons.
HashableCoreMap(Map<Class<? extends TypesafeMap.Key<?>>, Object>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance of HashableCoreMap with initial key,value pairs for the immutable, hashable keys as provided in the given map.
HashableCoreMap(ArrayCoreMap, Set<Class<? extends TypesafeMap.Key<?>>>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance by copying values from the given other CoreMap, using the values it associates with the given set of hashkeys for the immutable, hashable keys used by hashcode and equals.
HashableCoreMap.HashableCoreMapException - Exception in edu.stanford.nlp.util
An exception thrown when attempting to change the value associated with an (immutable) hash key in a HashableCoreMap.
HashableCoreMapException(String) - Constructor for exception edu.stanford.nlp.util.HashableCoreMap.HashableCoreMapException
 
hashCode() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Be careful hashing these.
hashCode() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
hashCode() - Method in class edu.stanford.nlp.ie.util.RelationTriple
hashCode() - Method in class edu.stanford.nlp.ling.BasicDatum
 
hashCode() - Method in class edu.stanford.nlp.ling.IndexedWord
This hashCode uses only the docID, sentenceIndex, and index.
hashCode() - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
hashCode() - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
hashCode() - Method in class edu.stanford.nlp.ling.RVFDatum
hashCode() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
hashCode() - Method in class edu.stanford.nlp.ling.WordTag
 
hashCode() - Method in class edu.stanford.nlp.math.DoubleAD
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
hashCode() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
Defined on map only.
hashCode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
hashCode() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a hashCode which is the underlying Map's hashCode.
hashCode() - Method in class edu.stanford.nlp.stats.Distribution
 
hashCode() - Method in class edu.stanford.nlp.stats.IntCounter
 
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
hashCode() - Method in class edu.stanford.nlp.trees.Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
hashCode() - Method in class edu.stanford.nlp.trees.NamedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.Tree
Implements a hashCode for Tree's.
hashCode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
hashCode() - Method in class edu.stanford.nlp.trees.TypedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns a composite hashCode over all the keys and values currently stored in the map.
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
hashCode() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
hashCode() - Method in class edu.stanford.nlp.util.HashableCoreMap
Provides a hash code based on the immutable keys and values provided to the constructor.
hashCode() - Method in class edu.stanford.nlp.util.HashIndex
 
hashCode() - Method in class edu.stanford.nlp.util.Interval
 
hashCode() - Method in class edu.stanford.nlp.util.IntPair
 
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass
 
hashCode() - Method in class edu.stanford.nlp.util.MutableDouble
 
hashCode() - Method in class edu.stanford.nlp.util.MutableInteger
 
hashCode() - Method in class edu.stanford.nlp.util.Pair
 
hashCode() - Method in class edu.stanford.nlp.util.RegexStringFilter
 
hashCode() - Method in class edu.stanford.nlp.util.ScoredComparator
Return the hashCode: there are only two distinct comparators by equals().
hashCode() - Method in class edu.stanford.nlp.util.Triple
 
hashCode() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
HashIndex<E> - Class in edu.stanford.nlp.util
Implements an Index that supports constant-time lookup in both directions (via get(int) and indexOf(E).
HashIndex() - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(int) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(Supplier<List<E>>, Supplier<Map<E, Integer>>) - Constructor for class edu.stanford.nlp.util.HashIndex
Create a new HashIndex, backed by the given collection types.
HashIndex(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index and adds every member of c to it.
HashIndex(Index<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
 
hashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
 
hashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a HashMap.
hashSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
HasIndex - Interface in edu.stanford.nlp.ling
 
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
HasInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HasInterval<E extends java.lang.Comparable<E>> - Interface in edu.stanford.nlp.util
HasInterval interface
HasLemma - Interface in edu.stanford.nlp.ling
Something that implements the HasLemma interface knows about lemmas.
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNaN(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
HasNER - Interface in edu.stanford.nlp.ling
This token is able to produce NER tags
hasNewVals - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
hasNext() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
hasNext() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
hasNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns true if this Tokenizer has more elements.
hasNext() - Method in class edu.stanford.nlp.util.AbstractIterator
hasNext() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
hasNext() - Method in class edu.stanford.nlp.util.ConcatenationIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FilteredIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns true if the priority queue is non-empty
hasNext() - Method in class edu.stanford.nlp.util.IterableIterator
 
HasOffset - Interface in edu.stanford.nlp.ling
Something that implements the HasOffset interface carries char offset references to an original text String.
HasOriginalText - Interface in edu.stanford.nlp.ling
This token can produce / set original texts
HasParent - Interface in edu.stanford.nlp.trees
Only to be implemented by Tree subclasses that actualy keep their parent pointers.
hasParentWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns true if vertex has an incoming relation reln
hasParse() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Does the sentence in the last call to parse() have a parse? In theory this method shouldn't be here, but it seemed a convenient place to put it for our more general parser interface.
hasProperty(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Returns true iff the given Properties contains a property with the given key (name), and its value is not "false" or "no" or "off".
hasPropertyPrefix(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
HasRegularizerParamRange - Interface in edu.stanford.nlp.optimization
Indicates that a Function should only be regularized on a subset of its parameters.
HasTag - Interface in edu.stanford.nlp.ling
Something that implements the HasTag interface knows about part-of-speech tags.
HasWord - Interface in edu.stanford.nlp.ling
Something that implements the HasWord interface knows about words.
HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
haveRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
HdotV - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
HdotVAt will return the hessian vector product H.v at the point x for a batchSize subset of the data There are several ways to perform this calculation, as of now Finite Difference, and Algorithmic Differentiation are the methods that have been used.
HdotVAt(double[], double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
head - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
head() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseHeadFinder
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraHeadFinder
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
headFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
HeadFinder - Interface in edu.stanford.nlp.trees
An interface for finding the "head" daughter of a phrase structure tree.
headFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
headFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
The HeadFinder to use for your treebank.
headMark - Static variable in class edu.stanford.nlp.trees.TreePrint
 
headPreTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the preterminal tree that is the head of the tree.
HeadTagLabelAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagLabelAnnotation
 
headTerminal(HeadFinder, Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
headTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
HeadWordLabelAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordLabelAnnotation
 
headWordNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return the node containing the head word for this node (or null if none), as recorded in this node's {@code CoreLabel}.
HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
HebrewEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
 
HebrewTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
HebrewTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Initial version of a parser pack for the HTB.
HebrewTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
HebrewTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
HebrewTreeNormalizer - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
 
HebrewTreeNormalizer.HebrewEmptyFilter - Class in edu.stanford.nlp.trees.international.hebrew
Remove traces and pronoun deletion markers.
HebrewTreeReaderFactory - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
 
height(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Recursively calculate the max height of the given tree
HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
heldOutSetC(GeneralDataset<L, F>, double, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
heldOutSetC(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
This method will cross validate on the given data and number of folds to find the optimal C.
heldOutSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the held-out score given by scorer.
help() - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
hideAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show none of the channels
hideChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide these channels, in addition to anything already hidden by upstream handlers.
hideChannelsEverywhere(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Hide multiple channels.
hideDebug - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide the debug channel only.
highestNodeWithSameHead() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Checks the node's ancestors to find the highest ancestor with the same headWordNode as this node.
hIndex(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculate h-Index (Hirsch, 2005) of an author.
host - Static variable in class edu.stanford.nlp.util.ArgumentParser
 
HSEL_CUT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
hSelSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
HybridMinimizer - Class in edu.stanford.nlp.optimization
Hybrid Minimizer is set up as a combination of two minimizers.
HybridMinimizer(Minimizer<DiffFunction>, Minimizer<DiffFunction>, int) - Constructor for class edu.stanford.nlp.optimization.HybridMinimizer
 
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a hypergeometric distribution.

I

id() - Method in class edu.stanford.nlp.ling.RVFDatum
 
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
 
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
IGNORE - Static variable in interface edu.stanford.nlp.io.Lexer
 
INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
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.
incrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
incrementBatch will shift the curElement variable to mark the next batch.
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
Adds to count for the GeneralizedCounter.depth()-dimensional key l.
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
Equivalent to GeneralizedCounter.incrementCount(java.util.List<K>, K)({o}, count); only works for a depth 1 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.
incrementRandom(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
Maintains a (real-valued) count of how many (weighted) trees have been read in.
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.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
 
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) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
indexOf(int, int) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
indexOf(int) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
indexOf(int, int, int) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
indexOf(int, int) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Converts a Phi feature number and class index into an f(x,y) feature index.
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
indexOf(T[], T, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns the index of the first occurrence of the specified element in this array starting at the specified index, or -1 if this array does not contain the element.
indexOf(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns the index of the first occurrence of the specified element in this array, or -1 if this array does not contain the element.
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
Deprecated.
You should use either the addToIndex(E) or indexOf(E) methods instead
indexOfRegex(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
indexOfRegex(Pattern, String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.UniversalChineseGrammaticalRelations
The "indirect object" (iobj) grammatical relation.
INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "indirect object" grammatical relation.
InefficientSGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer.
InefficientSGDMinimizer() - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, long) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, long, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
info - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The current track info; used to avoid trackStack.peek() calls
info(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
infof(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log to the info channel.
infoFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
infoLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Run Redwood with SLF4J if available, otherwise with stderr logging at the warning (and error) level.
init(List<Pair<Double, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
init(AbstractStochasticCachingDiffUpdateFunction) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
initial() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
use a random starting point uniform -1 1
initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
initial() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
initial() - Method in interface edu.stanford.nlp.optimization.HasInitial
Returns the intitial point in the domain (but not necessarily a feasible one).
initialize(int) - Method in class edu.stanford.nlp.classify.Dataset
 
initialize(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
This method takes care of resetting values of the dataset such that it is empty with an initial capacity of numDatums.
initialize(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
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
 
initMC(ArrayList<Triple<Double, Integer, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
 
initMC(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
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
 
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
 
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.
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
 
intern - Variable in class edu.stanford.nlp.classify.LinearClassifier
 
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(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.
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(int) - 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.
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)
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>
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.math.DoubleAD
 
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.
IOUtils - Class in edu.stanford.nlp.io
Helper Class for various I/O related things.
IP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "verb modifier" grammatical relation.
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
 
isAfter(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span starts after the otherSpan's end.
isAllUpperCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if every non whitespace character is upper case (e.g.
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
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).
isBefore(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span ends before the otherSpan starts.
isBinarized() - Method in class edu.stanford.nlp.trees.Tree
Returns whether this node is the root of a possibly binarized tree.
isBinary() - Method in class edu.stanford.nlp.trees.Tree
Returns whether this node is the root of a possibly binary tree.
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isCache() - Method in class edu.stanford.nlp.util.Lazy
Specify whether this lazy should garbage collect its value if needed, or whether it should force it to be persistent.
isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if a string begins with an uppercase.
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
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
 
isDag(IndexedWord) - 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
 
isDot(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
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.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.IdentityHashSet
Returns true if this set contains no elements.
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
Whether this is an ending tag or not.
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
 
isFinite(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns true if the given counter contains only finite, non-NaN values.
IsFirstWordOfMWTAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsFirstWordOfMWTAnnotation
 
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.
isGarbageCollected() - Method in class edu.stanford.nlp.util.Lazy
Check if this lazy has been garbage collected, if it is a cached value.
isInConditionalContext(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Check if the vertex is in a "conditional" context.
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
 
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.
IsMultiWordTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsMultiWordTokenAnnotation
 
isMWT() - Method in class edu.stanford.nlp.ling.CoreLabel
Get value of IsMultiWordToken
isMWTFirst() - Method in class edu.stanford.nlp.ling.CoreLabel
Get value of IsFirstWordOfMWT
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
 
isNewline() - Method in class edu.stanford.nlp.ling.CoreLabel
Get value of IsNewlineAnnotation
IsNewlineAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsNewlineAnnotation
 
isNodeCoord() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
isNull() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
isNullOrEmpty(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns whether a String is either null or empty.
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.
isPrefixBe() - Method in class edu.stanford.nlp.ie.util.RelationTriple
If true, this relation expresses a "to be" relation.
isPrefixBe(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Set the value of this relation triple expressing a "to be" relation.
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.
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
 
isSegmenterLanguage(LanguageInfo.HumanLanguage) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
Check if language is a segmenter language, return boolean.
isSegmenterLanguage(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
 
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
Whether this is an empty element expressed as a single empty element tag like <p/>.
isStanfordCoreNLPSupportedLang(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
boolean saying whether String represents a Stanford CoreNLP supported language
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).
isSuffixBe() - Method in class edu.stanford.nlp.ie.util.RelationTriple
If true, this relation expresses a "to be" relation (with the be at the end of the sentence).
isSuffixBe(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Set the value of this relation triple expressing a "to be" relation (suffix).
isSuffixOf() - Method in class edu.stanford.nlp.ie.util.RelationTriple
If true, this relation has an ungrounded "of" at the end of the relation.
isSuffixOf(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Set the value of this triple missing an ungrounded "of" in the relation string.
isTitleCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if every word in a string begins with an uppercase and the rest is lower case (e.g.
istmod() - Method in class edu.stanford.nlp.ie.util.RelationTriple
If true, this relation expresses a tmod (temporal modifier) relation that is not grounded in the sentence.
istmod(boolean) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Set the value of this relation triple expressing a tmod (temporal modifier) relation.
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
 
iterableFromEnumerator(Enumeration<E>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
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
 
iterativeAverage(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
This version avoids certain types of overflow.
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.classify.GeneralDataset
 
iterator() - Method in class edu.stanford.nlp.classify.RVFDataset
iterator() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
iterator() - Method in class edu.stanford.nlp.ie.util.RelationTriple
 
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.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.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.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.
iteratorFromEnumerator(Enumeration<E>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
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
 

J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the Jaccard Coefficient of the two counters.
javaUtil - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to java.util.Logging.
javaUtilLogging() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Run Redwood with java.util.logging
JavaUtilLoggingAdaptor - Class in edu.stanford.nlp.util.logging
Reroutes java.util.logging messages to the Redwood logging system.
JavaUtilLoggingAdaptor.RedwoodHandler - Class in edu.stanford.nlp.util.logging
This is the bridge class which actually adapts java.util.logging calls to Redwood calls.
JavaUtilLoggingHandler - Class in edu.stanford.nlp.util.logging
An outputter that writes to Java Util Logging logs.
JavaUtilLoggingHandler() - Constructor for class edu.stanford.nlp.util.logging.JavaUtilLoggingHandler
 
jensenShannonDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the Jensen Shannon divergence (information radius) between a and b, defined as the average of the kl divergences from a to b and from b to a.
jensenShannonDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the Jensen-Shannon divergence between the two counters.
JJTLOCATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODENAME - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
jjtNodeName - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTIONLIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTOPERATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEDTRS - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREELIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREENODE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTsurgeonParserState - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
JJTTsurgeonParserState() - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
JL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
join(List<? extends E>, String, Function<E, String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
join(Iterable<X>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Iterable with the given glue.
join(Stream<X>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Stream with the given glue.
join(Object[], String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the array with the given glue.
join(Object[], int, int, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins an array of elements in a given span.
join(String[], String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each element in the given array with the given glue.
join(Iterable<?>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elements with a space.
join(Object[]) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elements with a space.
joinFields(List<? extends CoreMap>, Class, String, String, int, int, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class, String, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Joint comparative and superlative adjective with positive.
joinMultipleFields(List<? extends CoreMap>, Class[], String, String, String, int, int, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[], Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[], String, String, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns their "join node": the node j such that j dominates both t1 and t2, and every other node which dominates both t1 and t2 dominates j.
joinNounTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Join proper nouns with common nouns.
joinPound - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Join pound with dollar.
joinWithOriginalWhiteSpace(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins all the tokens together (more or less) according to their original whitespace.
joinWords(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinWords(List<? extends HasWord>, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
justificationOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
justificationOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
returns the weights assigned by the classifier to each feature

K

k - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
KBestTreesAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.KBestTreesAnnotation
 
KBestViterbiParser - Interface in edu.stanford.nlp.parser
An interface that supports finding k best and/or k good parses and parse sampling.
KBPTriplesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.KBPTriplesAnnotation
 
keepInMemory(boolean) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Tells the ObjectBank to store all of its contents in memory so that it doesn't have to be recomputed each time you iterate through it.
KEY_VAL_DELIM - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
keysAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or above the given threshold.
keysAbove(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or above the given threshold.
keysAt(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys that have exactly the given count.
keysAt(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys that have exactly the given count.
keysBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or below the given threshold.
keysBelow(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or below the given threshold.
keySet() - Method in class edu.stanford.nlp.ling.IndexedWord
 
keySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the Set of keys in this counter.
keySet() - Method in interface edu.stanford.nlp.stats.Counter
Returns the Set of keys in this counter.
keySet() - Method in class edu.stanford.nlp.stats.Distribution
 
keySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of keys, as read-only Lists of size equal to the depth of the GeneralizedCounter.
keySet() - Method in class edu.stanford.nlp.stats.IntCounter
 
keySet() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Collection of keys currently held in this map.
keySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
keySet() - Method in interface edu.stanford.nlp.util.TypesafeMap
Collection of keys currently held in this map.
keySetNotNull() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Return a set of keys such that the value of that key is not null.
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
 
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
KILL - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
Dummy relation, used while collapsing relations, e.g., in English & Chinese GrammaticalStructure
kill() - Method in class edu.stanford.nlp.util.StreamGobbler
 
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
klDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the KL divergence between the two counters.

L

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
 
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() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the first label for this Datum, or null if none have been set.
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.ling.RVFDatum
 
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() - 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.
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
 
labelIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
labelIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
labelIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
labelIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
labelIterator() - Method in class edu.stanford.nlp.classify.GeneralDataset
Returns an iterator over the class labels of the Dataset
labelList2Text(List<? extends HasWord>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
labels - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
labels() - Method in interface edu.stanford.nlp.classify.Classifier
 
labels - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
labels() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
labels - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
labels - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
The label of each data index.
labels() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
labels() - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
labels() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the complete List of labels for this Datum, which may be empty.
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.ling.RVFDatum
 
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 Labels, null or otherwise, contained in the tree.
LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
 
lam - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
lambda - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
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).
LanguageInfo - Class in edu.stanford.nlp.pipeline
This class contains mappings from strings to language properties files.
LanguageInfo.HumanLanguage - Enum in edu.stanford.nlp.pipeline
languages supported
languageToPropertiesFile - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
map enum to properties file
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.
lastBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastBatchSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the last child of a tree, or null if none.
lastDerivative() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
lastIndexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastVBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastXBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
 
LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
LC_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "localizer complement" grammatical relation.
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.
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
 
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
 
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.
leftEdgeUnsafe(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.
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
 
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
 
LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
lemmaId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
lemmaStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology
Lemmatize the word, being sensitive to the tag.
lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
Lemmatize the word, being sensitive to the tag.
lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology
Lemmatize returning a WordLemmaTag.
lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
 
LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
length - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
length() - Method in class edu.stanford.nlp.util.IntTuple
 
LENGTH_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
LENGTH_GT_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
LENGTH_LT_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
 
levenshteinDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
I shamefully stole this from: http://rosettacode.org/wiki/Levenshtein_distance#Java --Gabor
levenshteinDistance(E[], E[]) - Static method in class edu.stanford.nlp.util.StringUtils
I shamefully stole this from: http://rosettacode.org/wiki/Levenshtein_distance#Java --Gabor
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
A Lexer interface to be used with LexerTokenizer.
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
Constructs a tokenizer from a Lexer.
LexerTokenizer(Lexer, Reader) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
Constructs a tokenizer from a Lexer and makes a Reader the active input stream for the tokenizer.
LexerUtils - Class in edu.stanford.nlp.process
This class contains various static utility methods invoked by our JFlex NL lexers.
LexerUtils.DashesEnum - Enum in edu.stanford.nlp.process
 
LexerUtils.EllipsesEnum - Enum in edu.stanford.nlp.process
 
LexerUtils.QuotesEnum - Enum in edu.stanford.nlp.process
 
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
 
LinearClassifier<L,F> - Class in edu.stanford.nlp.classify
Implements a multiclass linear classifier.
LinearClassifier(double[][], Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
Make a linear classifier from the parameters.
LinearClassifier(double[][], Index<F>, Index<L>, double[]) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(double[], Index<Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(Counter<? extends Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(Counter<? extends Pair<F, L>>, Counter<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifierCreator(LogConditionalObjectiveFunction, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
LinearClassifierCreator(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
LinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Builds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.
LinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: Constructors that take in a Minimizer create a LinearClassifierFactory that will reuse the minimizer and will not be threadsafe (unless the Minimizer itself is ThreadSafe, which is probably not the case).
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, int, double, double, int) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
Create a factory that builds linear classifiers from training data.
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
Create a factory that builds linear classifiers from training data.
LinearClassifierFactory.LinearClassifierCreator<L,F> - Class in edu.stanford.nlp.classify
 
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
 
LineSearcher - Interface in edu.stanford.nlp.optimization
The interface for one variable function minimizers.
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.
listener - Static variable in class edu.stanford.nlp.util.ArrayCoreMap
A listener for when a key is retrieved by the CoreMap.
listenOnChannels(Consumer<Redwood.Record>, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
 
listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
listOptions(Class) - Static method in class edu.stanford.nlp.util.ArgumentParser
Return the list of ArgumentParser.Option's for provided Class
listToEvents(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
listToFile(List<double[]>, String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
listToOriginalTextString(List<T>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
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.SentenceUtils
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.SentenceUtils
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.SentenceUtils
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.SentenceUtils
As already described, but if separator is not null, then objects such as TaggedWord
listToString(List<T>, String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
Pretty print CoreMap classes using the same semantics as the toShorterString method.
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
 
loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading
Create an object of type T by calling the class constructor with the given arguments.
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.
loadFromFilename(String) - Static method in class edu.stanford.nlp.classify.LinearClassifierFactory
Given the path to a file representing the text based serialization of a Linear Classifier, reconstitutes and returns that LinearClassifier.
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
 
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.
loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
loadSegmenter(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
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.UniversalChineseGrammaticalRelations
The "localizer complement" grammatical relation.
localString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
localString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
localString() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
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 Trees 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(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
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.
LogConditionalEqConstraintFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
LogConditionalEqConstraintFunction(int, int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
LogConditionalEqConstraintFunction(int, int, int[][], int[], double) - Constructor for class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
LogConditionalEqConstraintFunction(int, int, int[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
LogConditionalObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
LogConditionalObjectiveFunction(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean, float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Version passing in a GeneralDataset, which may be binary or real-valued features.
LogConditionalObjectiveFunction(Iterable<Datum<L, F>>, LogPrior, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Version where an Iterable is passed in for the data.
LogConditionalObjectiveFunction(int, int, int[][], int[], boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], double[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
For real-valued features.
logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
The Redwood equivalent to printf().
logf(Redwood.Flag, String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
The Redwood equivalent to printf(), with a logging level.
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(Redwood.Flag, 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
 
LogFilter - Interface in edu.stanford.nlp.util.logging
Simple interface to determine if a Record matches a set of criteria.
LogFilter.ContainsMessage - Class in edu.stanford.nlp.util.logging
Propagate records containing certain substrings.
LogFilter.HasChannel - Class in edu.stanford.nlp.util.logging
 
LogFilter.MatchesMessage - Class in edu.stanford.nlp.util.logging
Propagate records when Records match a specific message exactly (equals() is used for comparisons)
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
 
logInvocationString(Redwood.RedwoodChannels, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Logs the command line arguments to Redwood on the given channels.
LogisticClassifier<L,F> - Class in edu.stanford.nlp.classify
A classifier for binary logistic regression problems.
LogisticClassifier(double[], Index<F>, L[]) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
 
LogisticClassifier(boolean) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifier(LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifier(LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Builds a classifier for binary logistic regression problems.
LogisticClassifierFactory() - Constructor for class edu.stanford.nlp.classify.LogisticClassifierFactory
 
LogisticObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
LogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
logLikelihood() - Method in class edu.stanford.nlp.classify.PRCurve
assuming the scores are probability of 1 given x
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.
logPrecision(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the precision at this recall if we look at the score as the probability of class 1 given x as if coming from logistic regression
LogPrior - Class in edu.stanford.nlp.classify
A Prior for functions.
LogPrior() - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(int) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(LogPrior.LogPriorType) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(int, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(LogPrior.LogPriorType, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(double[]) - Constructor for class edu.stanford.nlp.classify.LogPrior
IMPORTANT NOTE: This constructor allows non-uniform regularization, but it transforms the inputs C (like the machine learning people like) to sigma (like we NLP folks like).
LogPrior.LogPriorType - Enum in edu.stanford.nlp.classify
 
logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns a counter mapping from each class name to the log probability of that class for a certain example.
logProbabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
Given a datum's features, returns a counter mapping from each class name to the log probability of that class.
logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
logProbabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
 
logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
Returns a counter for the log probability of each of the classes looking at the the sum of e^v for each count v, should be 1 Note: Uses SloppyMath.logSum which isn't exact but isn't as offensively slow as doing a series of exponentials
logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
Returns a counter for the log probability of each of the classes looking at the the sum of e^v for each count v, should be 1 Note: Uses SloppyMath.logSum which isn't exact but isn't as offensively slow as doing a series of exponentials
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(DoubleAD[]) - Static method in class edu.stanford.nlp.math.ADMath
 
logSum(DoubleAD[], int, int) - Static method in class edu.stanford.nlp.math.ADMath
 
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.
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.
longValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
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.
lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Env
 
lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Look up a shaper by a short String name.
lowercaseWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to lowercase word vectors
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.

M

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.classify.ClassifierExample
 
main(String[]) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
Runs the ColumnDataClassifier from the command-line.
main(String[]) - Static method in class edu.stanford.nlp.classify.CrossValidator
 
main(String[]) - Static method in class edu.stanford.nlp.classify.LogisticClassifier
This runs a simple train and test regime.
main(String[]) - Static method in class edu.stanford.nlp.classify.PRCurve
 
main(String[]) - Static method in class edu.stanford.nlp.classify.RVFDataset
 
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.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.optimization.GoldenSectionLineSearch
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SMDMinimizer
 
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.pipeline.LanguageInfo
Go through all of the paths via reflection, and print them out in a TSV format.
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.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.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.EnglishGrammaticalStructure
 
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
 
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.ChineseGrammaticalStructure
 
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.pennchinese.UniversalChineseGrammaticalRelations
Prints out the Chinese grammatical relations hierarchy.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
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.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.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.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.SystemUtils
 
main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils
Tests a few methods.
makeClassifier(GeneralDataset<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Creates a classifier from training data.
makeCopy() - Method in class edu.stanford.nlp.ling.IndexedWord
This copies the whole IndexedWord, incrementing a copy count.
makeDatumFromLine(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Entry point for taking a String (formatted as a line of a TSV file) and translating it into a Datum of features.
makeDatumFromStrings(String[]) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Takes a String[] of elements and translates them into a Datum of features.
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, Predicate<TypedDependency>, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(Tree, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Returns a new SemanticGraph constructed from a given Tree with given options.
makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, GrammaticalStructure.Extras, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, 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) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(Tree, SemanticGraphFactory.Mode, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Deprecated.
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
 
makeStopLights(String, String) - Static method in class edu.stanford.nlp.classify.ClassifierExample
 
makeSvmLabelMap() - Method in class edu.stanford.nlp.classify.GeneralDataset
Maps our labels to labels that are compatible with svm_light
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
 
map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
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
 
mapDataset(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
mapDataset(GeneralDataset<L, F>, Index<L2>, Map<L, L2>, L2) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
mapDatum(Datum<L, F>, Map<L, L2>, L2) - Static method in class edu.stanford.nlp.classify.GeneralDataset
 
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.UniversalChineseGrammaticalRelations
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
 
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).
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
Get a SemgrexMatcher for this pattern in this graph.
matcher(SemanticGraph, IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Get a SemgrexMatcher for this pattern in this graph.
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
Get a SemgrexMatcher for this pattern in this graph.
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, Tree, IdentityHashMap<Tree, Tree>, Map<String, Tree>, VariableStrings, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Get a TregexMatcher for this pattern on this tree.
matcher(Tree, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Get a TregexMatcher for this pattern on this tree.
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
 
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
 
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.FetchNode
 
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() - 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(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
 
matches(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.HasChannel
 
matches(Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.LogFilter
 
matches(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogFilter.MatchesMessage
 
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
Resets the matcher and tests if it matches on the tree when rooted at node.
MatchesMessage(Object) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.MatchesMessage
 
matchPatternToVertex(String, IndexedWord, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
matchPatternToVertex(String, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
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(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(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_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
 
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.
maxLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The maximum sentence length (including punctuation, etc.) to parse.
maxSpanForTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The largest span to consider for word-hood.
maxTime - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
maxTime - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
mean(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Return the mean of an array of int.
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
 
memory - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
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.
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
 
meta - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
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
 
method - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
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(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_PROBABILITY - Static variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
minimal() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
The default Redwood configuration, which prints to the console without channels.
minimallyNormalizeCurrency(String) - Static method in class edu.stanford.nlp.process.LexerUtils
Still at least turn cp1252 euro symbol to Unicode one.
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(DoubleUnaryOperator, double, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(DoubleUnaryOperator) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
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(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
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(DoubleUnaryOperator) - Method in interface edu.stanford.nlp.optimization.LineSearcher
Attempts to find an unconstrained minimum of the objective function starting at initial, within functionTolerance.
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
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
minus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
minusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
minusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
 
minusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
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
 
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.
MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "modal" grammatical relation.
MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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 "modifier" grammatical relation.
MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "modifier" (mod) grammatical relation (abstract).
MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "modifier" grammatical relation.
MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
morphBoundary - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
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
 
mu - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
mult(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
multConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
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.
MultiClassAccuracyStats<L> - Class in edu.stanford.nlp.stats
 
MultiClassAccuracyStats() - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
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.
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
 
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
 
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".
MWTTokenTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MWTTokenTextAnnotation
 

N

NaiveBayesClassifier<L,F> - Class in edu.stanford.nlp.classify
A Naive Bayes classifier with a fixed number of features.
NaiveBayesClassifier(Counter<Pair<Pair<L, F>, Number>>, Counter<L>, Set<L>, Set<F>, boolean) - Constructor for class edu.stanford.nlp.classify.NaiveBayesClassifier
 
NaiveBayesClassifier(Counter<Pair<Pair<L, F>, Number>>, Counter<L>, Set<L>) - Constructor for class edu.stanford.nlp.classify.NaiveBayesClassifier
 
NaiveBayesClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Creates a NaiveBayesClassifier given an RVFDataset.
NaiveBayesClassifierFactory() - Constructor for class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
NaiveBayesClassifierFactory(double, double, double, int, int) - Constructor for class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
name - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
name() - Method in interface edu.stanford.nlp.trees.Dependency
Names the type of dependency (subject, instrument, ...).
NAME - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "name" grammatical relation.
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
Stores the elememnt name, such as "doc".
NAME_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "name" relation.
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
 
NamedEntityTagProbsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagProbsAnnotation
 
namesToNodes() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
 
NBLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Provides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.
NBLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
NBLinearClassifierFactory(double) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
NBLinearClassifierFactory(double, boolean) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
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.
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" grammatical relation.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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
 
NegraPennCollinizer - Class in edu.stanford.nlp.parser.lexparser
 
NegraPennCollinizer(TreebankLangParserParams) - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
 
NegraPennCollinizer(TreebankLangParserParams, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
 
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 class edu.stanford.nlp.ling.CoreLabel
Return the named entity class of the label (or null if none).
ner() - Method in interface edu.stanford.nlp.ling.HasNER
Return the named entity class of the label (or null if none).
ner() - Method in class edu.stanford.nlp.ling.IndexedWord
 
nerConfidence() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the map of confidences
NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
NESTED_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
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
 
newConcurrentHashSet() - Static method in class edu.stanford.nlp.util.Generics
 
newConcurrentHashSet(Set<E>) - 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
 
newGrad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
newGrammaticalStructure(Tree) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFactory
Vend a new GrammaticalStructure based on the given Tree.
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructureFactory
 
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
 
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
Create a new tree leaf node, where the label is formed from the String passed in.
newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
Create a new tree leaf node, with the given label.
NEWLINE_TOKEN - Static variable in class edu.stanford.nlp.process.AbstractTokenizer
For tokenizing carriage returns.
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
 
newQNInfo(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
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.
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory
 
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
newSingletonCollection(T) - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
newSpanishTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
Constructs a new SpanishTokenizer that returns T objects and uses the options passed in.
newStack() - Static method in class edu.stanford.nlp.util.Generics
 
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
Create a new tree non-leaf node, where the label is formed from the String passed in.
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
Create a new tree non-leaf node, with the given label.
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
 
newWeakHashMap(int) - 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
 
newX - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
next() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
next() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
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 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.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
 
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
 
nf - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
NO_ANALYSIS - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
NO_PRIOR - Static variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
NO_WORD - Static variable in class edu.stanford.nlp.ling.IndexedWord
The identifier that points to no word.
noClobberWriteProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
NodeAttributes - Class in edu.stanford.nlp.semgraph.semgrex
Stores attributes for a Semgrex NodePattern.
NodeAttributes() - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
nodeAttrMatch(IndexedWord, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
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 - 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
 
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.
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
 
nodeString() - Method in class edu.stanford.nlp.trees.Tree
Returns the value of the node's label as a String.
NoEmptiesCTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory
 
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.
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 "nsubjpass" grammatical relation.
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "nominal subject" (nsubj) grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "nominal subject" grammatical relation.
NOMINAL_TOPIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "nominal topic" (nmod:topic) grammatical relation (Chinese-specific).
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.
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(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
 
normalizeAmp(String) - Static method in class edu.stanford.nlp.process.LexerUtils
Convert an XML-escaped ampersand back into an ampersand.
normalizeCurrency(String) - Static method in class edu.stanford.nlp.process.LexerUtils
 
NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
normalizeFractions(boolean, boolean, String) - Static method in class edu.stanford.nlp.process.LexerUtils
Change precomposed fraction characters to spelled out letter forms.
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).
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, boolean, boolean) - 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.
NOT_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
NOT_PAT_WORD - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
noTagSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
notFilter(Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that does the opposite of given filter (NOT).
NOUN_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "noun compound modifier" grammatical relation.
NOUN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "noun modifier" grammatical relation.
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
 
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, 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.
NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
NULL_ITW - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
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
 
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "compound number modifier" grammatical relation.
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "classifier modifier" grammatical relation.
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
 
numChildren() - Method in class edu.stanford.nlp.trees.Tree
Says how many children a tree node has in its local tree.
numClasses - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
numClasses() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
numClasses - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
numClasses - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
numCorrect(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
how many correct do we have if we return the most confident num recall ones
numDatumsPerLabel() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
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" grammatical relation.
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "number modifier" (nummod) grammatical relation.
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "numeric modifier" grammatical relation.
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
 
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
 
numFeatures - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
numFeatures() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
numFeatures - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
numFeatures - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
numFeatureTokens() - Method in class edu.stanford.nlp.classify.GeneralDataset
returns the number of feature tokens in the Dataset.
numFeatureTypes() - Method in class edu.stanford.nlp.classify.GeneralDataset
returns the number of distinct feature types in the Dataset.
numHid - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Number of hidden units in the word vectors.
numPasses - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
numPasses - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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.
numSamples() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
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
 
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
 
numValues - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
numWordTokens - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 

O

object - Variable in class edu.stanford.nlp.ie.util.RelationTriple
The object (third argument) of this triple
OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "object" grammatical relation.
OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "obj" grammatical relation.
OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "object" (obj) grammatical relation.
object() - Method in class edu.stanford.nlp.util.ScoredObject
 
ObjectBank<E> - Class in edu.stanford.nlp.objectbank
The ObjectBank class is designed to make it easy to change the format/source of data read in by other classes and to standardize how data is read in javaNLP classes.
ObjectBank(ReaderIteratorFactory, IteratorFromReaderFactory<E>) - Constructor for class edu.stanford.nlp.objectbank.ObjectBank
This creates a new ObjectBank with the given ReaderIteratorFactory and ObjectIteratorFactory.
ObjectBank.PathToFileFunction - Class in edu.stanford.nlp.objectbank
This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank.
objectEqualityIndexOf(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns the index of daughter in parent by ==.
objectGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The object of this relation triple, as a String
objectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The head of the object of this relation triple.
objectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
The head of the object of this relation triple.
objectIndexOf(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the position of a Tree in the children list, if present, or -1 if it is not present.
objectLemmaGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The object of this relation triple, as a String of the object's lemmas.
objectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The entity link of the subject
objectLink - Variable in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
The canonical entity link of the object
objectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
The entity link of the subject
objects(int[]) - Method in class edu.stanford.nlp.util.HashIndex
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objects(int[]) - Method in interface edu.stanford.nlp.util.Index
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objectsList() - Method in class edu.stanford.nlp.util.HashIndex
Returns a complete List of indexed objects, in the order of their indices.
objectsList() - Method in interface edu.stanford.nlp.util.Index
Returns a complete List of indexed objects, in the order of their indices.
objectToColumnString(Object, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts an object into a tab delimited string with given fields Requires the object has public access for the specified fields
objectTokenSpan() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Gets the span of the NON-CANONICAL object.
OBLIQUE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
ODNUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "ordnumber modifier" grammatical relation.
of(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy
Create a lazy value from the given provider.
oneDimensionalCounterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one-tailed Fisher's exact probability.
ONEWHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
op - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
openClassTypesThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
A POS tag has to have been attributed to more than this number of word types before it is regarded as an open-class tag.
openNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
opFmeasure() - Method in class edu.stanford.nlp.classify.PRCurve
 
optFmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the optimal f-measure we can achieve given recall guesses using the optimal monotonic function
optimalAccuracy() - Method in class edu.stanford.nlp.classify.PRCurve
 
optimalCwa() - Method in class edu.stanford.nlp.classify.PRCurve
optimal confidence weighted accuracy assuming for each recall we can fit an optimal monotonic function
optimalCwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as threshold
optimizedDotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
This method does not check entries for NAN or INFINITY values in the doubles returned.
optionClasses - Static variable in class edu.stanford.nlp.util.ArgumentParser
 
Options - Class in edu.stanford.nlp.parser.lexparser
This class contains options to the parser which MUST be the SAME at both training and testing (parsing) time in order for the parser to work properly.
Options() - Constructor for class edu.stanford.nlp.parser.lexparser.Options
 
Options(TreebankLangParserParams) - Constructor for class edu.stanford.nlp.parser.lexparser.Options
 
options - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
Options.LexOptions - Class in edu.stanford.nlp.parser.lexparser
 
orderByTargetComparator() - Static method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
ORDINAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "ordinal modifier" (ordmod) grammatical relation.
orFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts when either filter accepts (OR).
OriginalCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
originalText() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the String which is the original character sequence of the token.
originalText() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String which is the original character sequence of the token.
originalText() - Method in interface edu.stanford.nlp.ling.HasOriginalText
 
originalText() - Method in class edu.stanford.nlp.ling.IndexedWord
 
OriginalTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
 
ORPHAN - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
 
out() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
 
outDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outgoingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
outgoingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outgoingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
outgoingEdgeIterator(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outgoingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
output - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to the default location specified by the output() method.
output(String) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Determine where, in the end, console output should go.
outputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
outputFilesDirectory - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear in this directory.
outputFilesExtension - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear with this extension.
outputFilesPrefix - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear with this prefix.
outputFormat - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Determines format of output trees: choose among penn, oneline
outputFormatOptions - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
OutputHandler - Class in edu.stanford.nlp.util.logging
An abstract handler incorporating the logic of outputting a log message, to some source.
OutputHandler() - Constructor for class edu.stanford.nlp.util.logging.OutputHandler
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputkBestEquivocation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this option is not null, output the k-best equivocation.
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
outputTreeFormats - Static variable in class edu.stanford.nlp.trees.TreePrint
The legal output tree formats.
outputTreeLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Outputs the labels on the trees, not just the words.
outsideFactor() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
If true, declare early -- leave this on except maybe with markov on.
overlap(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Span, Collection<Span>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Check whether this interval overlaps with the other interval.
overWriteProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 

P

PA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
This variable controls doing parent annotation of phrasal nodes.
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(String, int, char) - 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 ch 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
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
Add the two 1d arrays in place of to.
pairwiseAddInPlace(double[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Add the two 1d arrays in place of to.
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
 
ParagraphIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphIndexAnnotation
 
ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
 
parallelGradientCalculation - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
The flag to tell the gradient computations to multithread over the data.
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.international.pennchinese.UniversalChineseGrammaticalRelations
 
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.UniversalChineseGrammaticalRelations
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.
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.
parseDouble(boolean, long, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Taken from http://nerds-central.blogspot.com/2011/05/high-speed-parse-double-for-jvm.html
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.
parseExtraDeps(String) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
Parses the value of the extra dependencies column in a CoNLL-U file and returns them in a HashMap with the governor indices as keys and the relation names as values.
parseFeatures(String) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
Parses the value of the feature column in a CoNLL-U file and returns them in a HashMap with the feature names as keys and the feature values as values.
parseInt(String) - Static method in class edu.stanford.nlp.math.SloppyMath
From http://nadeausoftware.com/articles/2009/08/java_tip_how_parse_integers_quickly Parse an integer very quickly, without sanity checks.
parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses an operation string into a TsurgeonPattern.
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
 
parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
parseStringKeys(String[]) - Static method in class edu.stanford.nlp.ling.CoreLabel
 
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 Constituents 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 Constituents for PARSEVAL evaluation.
PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "participial modifier" grammatical relation.
PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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.semgraph.semgrex.SemgrexPattern
 
pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
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
 
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() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
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.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
pennNormalizeParens(String, boolean) - Static method in class edu.stanford.nlp.process.LexerUtils
 
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, Function<Label, String>) - 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, Function<Label, String>) - 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.
pennPunctTags - Static variable in class edu.stanford.nlp.trees.PennTreebankLanguagePack
 
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
Vends PennTreeReader objects.
PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Default constructor; uses a LabeledScoredTreeFactory, with StringLabels, a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
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 {@code 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 {@code CoreLabel} and the CoreLabels 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.
PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
 
PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
 
platt - Variable in class edu.stanford.nlp.classify.SVMLightClassifier
 
plus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
plusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
plusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
 
plusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
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
 
popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
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.
POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
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
 
postProcessDependencies(SemanticGraph) - Static 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
 
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
PRCurve - Class in edu.stanford.nlp.classify
A class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.
PRCurve(String) - Constructor for class edu.stanford.nlp.classify.PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(String, boolean) - Constructor for class edu.stanford.nlp.classify.PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(List<Pair<Double, Integer>>) - Constructor for class edu.stanford.nlp.classify.PRCurve
 
precision(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the best precision at the given recall
precision(Set<?>, Set<?>) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
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.
PREDICATE_ASPECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "aspect marker" 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.
preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
 
prepCCTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
 
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_LOC_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_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional object" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "prepositional object" grammatical relation.
PresetAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PresetAnswerAnnotation
 
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
 
print(PrintStream) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
print() - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
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(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.JavaUtilLoggingHandler
 
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
 
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
 
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.
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, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
Print typed dependencies in either the Stanford dependency representation or in the conllx format.
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.
printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
 
printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
 
printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrixWithValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Modification of printFullFeatureMatrix to correct bugs and print values (Rajat).
printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
 
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
printMinMax - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
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.
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
 
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.Dataset
Prints the sparse feature matrix using GeneralDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.GeneralDataset
Prints the sparse feature matrix using GeneralDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.RVFDataset
Prints the sparse feature matrix using RVFDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature matrix representation of the Dataset.
printSparseFeatureValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature-value output of the Dataset.
printSparseFeatureValues(int, PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature-value output of the Dataset.
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
 
printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
printSVMLightFormat(PrintWriter, ClassicCounter<Integer>, int) - Static method in class edu.stanford.nlp.classify.Dataset
Need to sort the counter by feature keys and dump it
printSVMLightFormat() - Method in class edu.stanford.nlp.classify.GeneralDataset
Dumps the Dataset as a training/test file for SVMLight.
printSVMLightFormat(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
Print SVM Light Format file.
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.
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.
printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
If this is false, the tag and word are never printed in toString() calls.
prior - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
prior - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
priorDerivative - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
The only reason this is around is because the Prior Functions don't handle stochastic calculations yet.
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.
priors(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
PRN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "parenthetical modifier" grammatical relation.
ProbabilisticClassifier<L,F> - Interface in edu.stanford.nlp.classify
 
ProbabilisticClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
Creates a probablic classifier with given weights
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(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns a counter mapping from each class name to the probability of that class for a certain example.
probabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
probabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
probabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Collection<F>, L) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Counter<F>, L) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
 
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
 
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.
processCp1252misc(String) - Static method in class edu.stanford.nlp.process.LexerUtils
 
ProcessException(String) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
ProcessException(Throwable) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
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.
processMultiWordPrepositions - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
ProcessOutputStream(String[]) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(String[], Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(String[], Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(ProcessBuilder, Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
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
 
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 class edu.stanford.nlp.parser.lexparser.BasicCategoryTagProjection
 
project(String) - Method in interface edu.stanford.nlp.parser.lexparser.TagProjection
Project more split dependency space onto less split space.
project(String) - Method in class edu.stanford.nlp.parser.lexparser.TestTagProjection
 
promptUserInput(Optional<String>) - Static method in class edu.stanford.nlp.io.IOUtils
Create a prompt, and read a single line of response.
propagateDependents - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
 
propagateRecord(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
Given a record, return true if it should be propagated to later handlers.
propagateRecord(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.FilterHandler
 
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.
propsAsJsonString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Convert the given properties to a json string
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
 
pseudoPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
In most cases, this is just the index of the word.
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.
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.international.pennchinese.UniversalChineseGrammaticalRelations
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.
pushBack(int) - Method in interface edu.stanford.nlp.io.Lexer
Pushes back length character positions in the lexer.
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, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Replaces current Collection mapped to key with the specified Collection.
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.
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.
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() - 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.
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.

Q

QMOD - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The quantificational modifier relation.
qnEstimates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many estimates to keep for the qn approximation.
qnIterationsPerBatch - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
QNMinimizer - Class in edu.stanford.nlp.optimization
An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(FloatFunction) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer.SurpriseConvergence - Exception in edu.stanford.nlp.optimization
 
QNPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
qnTolerance - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, the tolerance to use if we want to stop qn early
QPtransform(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
Transforms t if it contains one of the following QP structure: 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 (...
QPTreeTransformer - Class in edu.stanford.nlp.trees
Transforms an English structure parse tree in order to get the dependencies right: Adds an extra structure in QP phrases:
(QP (RB well) (IN over) (CD 9)) becomes
(QP (XS (RB well) (IN over)) (CD 9))
(QP (...) (CC ...) (...)) becomes
(QP (NP ...) (CC ...) (NP ...))
QPTreeTransformer() - Constructor for class edu.stanford.nlp.trees.QPTreeTransformer
 
QPTreeTransformer(boolean) - Constructor for class edu.stanford.nlp.trees.QPTreeTransformer
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
QUANTIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "quantifier phrase modifier" grammatical relation.
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
queuedTracks - Variable in class edu.stanford.nlp.util.logging.OutputHandler
A list of tracks which have been started but not yet printed as no log messages are in them yet.
quiet - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
quiet - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
quietEvaluation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
When evaluating, don't print out tons of text.
QuotationIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.QuotationIndexAnnotation
 
QuotationsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.QuotationsAnnotation
 
QuotedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.QuotedAnnotation
 
QuotesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.QuotesAnnotation
 

R

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.
randGenerator - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
 
randomInitial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
randomize(long) - Method in class edu.stanford.nlp.classify.GeneralDataset
Randomizes the data array in place.
randomize(long) - Method in class edu.stanford.nlp.classify.RVFDataset
Randomizes the data array in place.
randomize(long) - Method in class edu.stanford.nlp.classify.WeightedDataset
Randomizes (shuffles) the data array in place.
randomSeed - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
range(int) - Static method in class edu.stanford.nlp.math.ArrayMath
Generate a range of integers from start (inclusive) to end (exclusive).
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.
RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "range" grammatical relation (Chinese only).
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() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readAndReturnTrainingExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a set of training examples from a file, and return the data in a featurized form and in String form.
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
 
readClassifier(String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
Loads a classifier from a file.
readColumnSet(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
Read column as set
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.international.pennchinese.UniversalChineseGrammaticalStructure
 
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.
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
 
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
 
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
 
readName() - Method in class edu.stanford.nlp.util.StringParsingTask
readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(Redwood.RedwoodChannels, 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.
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
 
readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an ObjectInputStream reading from any of a URL, a CLASSPATH resource, or a file.
readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
Read SVM-light formatted data into this dataset.
readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
Reads all text of the XML tag and returns it as a String.
readTestExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a data set from a file at test time, and return it.
readTrainingExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a set of training examples from a file, and return the data in a featurized form.
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
recalculatePrevBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
recomputeTotal() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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.classify.ClassifierExample
 
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.
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, which contains one or more capturing groups, and a String, returns a list with the values of the captured groups in the pattern.
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
 
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 - Variable in class edu.stanford.nlp.ie.util.RelationTriple
The relation (second argument) of this triple.
relationGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The relation of this relation triple, as a String
relationHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The head of the relation of this relation triple.
relationHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
The head of the relation of this relation triple.
relationLemmaGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The relation of this relation triple, as a String of the relation's lemmas.
relationTokenSpan() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Get a representative span for the relation expressed by this triple.
RelationTriple - Class in edu.stanford.nlp.ie.util
A (subject, relation, object) triple; e.g., as used in the KBP challenges or in OpenIE systems.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
Create a new triple with known values for the subject, relation, and object.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
 
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
Create a new triple with known values for the subject, relation, and object.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple
 
RelationTriple.WithLink - Class in edu.stanford.nlp.ie.util
A RelationTriple, but with both the tree and the entity links saved as well.
RelationTriple.WithTree - Class in edu.stanford.nlp.ie.util
A RelationTriple, but with the tree saved as well.
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" 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
 
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.
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.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(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(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.DeltaMap
 
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() - 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.
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.
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.
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
 
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
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.
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.
removeSoftHyphens(String) - Static method in class edu.stanford.nlp.process.LexerUtils
 
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
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
replaceAll(Function<V, ? extends V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Replace each of the elements with the application of a function.
replaceAscii(String) - Static method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
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(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (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).
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
 
RES_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "resultative complement" grammatical relation.
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.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.
resetWeight() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: Nothing is actually done with this value.
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
 
RESULTATIVE_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "resultative complement" grammatical relation.
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.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 elements in the given Collection that aren't accepted by the given Filter.
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.
retainFeatures(Set<F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Retains the given features in the Dataset.
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>, Predicate<E>) - 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.
returnPreviousValues - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
 
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
RIGHT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
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.
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.
rightEdgeUnsafe(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.
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)
RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
root() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
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() - 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
 
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).
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
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.
run() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
run() - Method in class edu.stanford.nlp.util.StreamGobbler
 
run(ProcessBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
run(ProcessBuilder, Writer, Writer) - Static method in class edu.stanford.nlp.util.SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
runningAverages - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
runShellCommand(String[], StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String[], File, StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String, StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runShellCommand(String[], StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runShellCommand(String[]) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runtimeException(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
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.
rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Calculate conditional likelihood for datasets with real-valued features.
RVFClassifier<L,F> - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points with real-valued features.
RVFDataset<L,F> - Class in edu.stanford.nlp.classify
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatum objects for the purposes of training a Classifier with a ClassifierFactory.
RVFDataset() - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(int) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(Index<L>, int[], Index<F>, int[][], double[][]) - Constructor for class edu.stanford.nlp.classify.RVFDataset
Constructor that fully specifies a Dataset.
RVFDatum<L,F> - Class in edu.stanford.nlp.ling
A basic implementation of the Datum interface that can be constructed with a Collection of features and one more more labels.
RVFDatum(Counter<F>, L) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with the given features and label.
RVFDatum(Datum<L, F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum taking the data from a Datum.
RVFDatum(Counter<F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with the given features and no labels.
RVFDatum() - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with no features or labels.

S

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
 
sampleDataset(long, double, boolean) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
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.
sampleMethod - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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.
save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
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
 
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.
SavedState() - Constructor for class edu.stanford.nlp.classify.CrossValidator.SavedState
 
saveToFilename(String) - Method in class edu.stanford.nlp.classify.LinearClassifier
Saves this out to a standard text file, instead of as a serialized Java object.
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.
say(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
sayVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
A list of verbs which are verbs of speaking that easily take an S (as a complement or topicalized) which is a direct speech ccomp.
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.
scaleDataset(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Scales the values of each feature in each linearly using the min and max values found in the training set.
scaleDatasetGaussian(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
scaleDatum(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Scales the values of each feature linearly using the min and max values found in the training set.
scaleDatumGaussian(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
ScaledSGDMinimizer<Q extends AbstractStochasticCachingDiffFunction> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer.
ScaledSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer.Weights - Class in edu.stanford.nlp.optimization
 
scaleFeatures() - Method in class edu.stanford.nlp.classify.RVFDataset
Scales feature values linearly such that each feature value lies between 0 and 1.
scaleFeaturesGaussian() - Method in class edu.stanford.nlp.classify.RVFDataset
 
scaleUp - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
scaleUp(boolean) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
scalingForInit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How much to scale certain parameters when initializing models.
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 location loc in a sentence.
score - Variable in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.AccuracyStats
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
score() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.stats.Scorer
 
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
 
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.
ScoredComparator - Class in edu.stanford.nlp.util
ScoredComparator allows one to compare Scored things.
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(Datum<L, F>, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns of the score of the Datum for the specified label.
scoreOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
scoreOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
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<L> - Interface in edu.stanford.nlp.stats
 
scoresOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
 
scoresOf(Datum<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
 
scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Construct a counter with keys the labels of the classifier and values the score (unnormalized log probability) of each class.
scoresOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
Given a datum's features, construct a counter with keys the labels and values the score (unnormalized log probability) for each class.
scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
scoresOf(Datum<L, F>, Collection<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
returns the scores for both the classes
scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
scoresOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
 
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.
searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.TwoDimensionalMap
 
SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
SectionAuthorCharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
 
SectionAuthorCharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
 
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
 
SectionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionIndexAnnotation
 
SectionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionsAnnotation
 
SectionStartAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
 
SectionTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionTagAnnotation
 
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
 
segmentDouble(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Segment a double into a mantissa and exponent.
segmenterClass - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
segmentMarkov - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
selectFeatures(int, double[]) - Method in class edu.stanford.nlp.classify.Dataset
Generic method to select features based on the feature scores vector provided as an argument.
selectFeaturesBinaryInformationGain(int) - Method in class edu.stanford.nlp.classify.Dataset
 
selectFeaturesFromSet(Set<F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Removes all features from the dataset that are not in featureSet.
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
 
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.international.pennchinese.ChineseGrammaticalRelations
The "semantic dependent" grammatical 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
A SemgrexMatcher can be used to match a SemgrexPattern against a SemanticGraph.
SemgrexParseException - Exception in edu.stanford.nlp.semgraph.semgrex
A runtime exception that indicates something went wrong parsing a semgrex expression.
SemgrexParseException(String) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
 
SemgrexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
 
SemgrexPattern - Class in edu.stanford.nlp.semgraph.semgrex
A SemgrexPattern is a pattern for matching node and edge configurations a dependency graph.
SemgrexPattern.OutputFormat - Enum in edu.stanford.nlp.semgraph.semgrex
 
SemiSupervisedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior, double) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
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
 
SentenceUtils - Class in edu.stanford.nlp.ling
SentenceUtils holds a couple utility methods for lists that are sentences.
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
 
separatePronouns(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Attempt to separate attached pronouns from the given verb.
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.
serializeClassifier(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Serialize a classifier to a file.
serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Serialize a classifier to an ObjectOutputStream.
serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
serializeStringCounter(Counter<String>, String, double) - Static method in class edu.stanford.nlp.stats.Counters
Serialize a counter into an efficient string TSV
serializeStringCounter(Counter<String>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
serializeWeights(String, double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serializeWeights(String, double[], double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.ling.IndexedWord
 
set(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
set(T1) - Method in interface edu.stanford.nlp.optimization.StochasticMinimizer.PropertySetter
 
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.
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.
setAfter(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
setAttribute(String, String) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
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.
setBefore(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
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
 
setC(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Set the C parameter (for the slack variables) for training the SVM.
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 ith child of this with the tree t.
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
setChild(TregexPattern) - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
 
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.
setColorChannels(boolean) - Method in class edu.stanford.nlp.util.logging.OutputHandler
 
setCopyCount(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
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.
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
 
setDeleteTempFilesOnExitFlag(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
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.
setdot(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
setEdge(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
setEmpty(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
setEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
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
 
setEnv(Env) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Recursively sets the env variable to this pattern in this and in all its children
setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Set the String returned when the inner tokenizer returns an end-of-line token.
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the epsilon value for LogConditionalObjectiveFunction.
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
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 class edu.stanford.nlp.classify.LinearClassifierFactory
 
setEvaluators(int, Evaluator[]) - Method in interface edu.stanford.nlp.optimization.HasEvaluators
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setEvaluators(int, int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
 
setFeatureValue(String, String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
 
setFolds(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
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
Set whether to generate original Stanford Dependencies or the newer Universal Dependencies.
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.
setGov(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
setHeldOutPercent(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setHeldOutSearcher(LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setID(String) - Method in class edu.stanford.nlp.ling.RVFDatum
Sets id for this instance
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
 
setIsMWT(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
Set value of IsMultiWordToken
setIsMWTFirst(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
Set value of IsFirstWordOfMWT
setIsNewline(boolean) - Method in class edu.stanford.nlp.ling.CoreLabel
Set value of IsNewlineAnnotation
setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.CGMinimizer
 
setIterationCallbackFunction(CallbackFunction) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(L) - Method in class edu.stanford.nlp.ling.RVFDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
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<LabelType>) - Method in class edu.stanford.nlp.ling.BasicDatum
Removes all currently assigned labels for this Datum then adds all of the given Labels.
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.
setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
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).
setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setM(int) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
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
 
setMaxTime(Long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setMem(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the mem value for QNMinimizer.
setMinimizerCreator(Factory<Minimizer<DiffFunction>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer.
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the named entity class of the label.
setNER(String) - Method in interface edu.stanford.nlp.ling.HasNER
Set the named entity class of the label.
setNER(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
 
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
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
Sets default options for how tokenizers built from this factory should behave.
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.
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 interface edu.stanford.nlp.ling.HasOriginalText
 
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.
setPlatt(LinearClassifier<L, L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
 
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the prior.
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
setPseudoPosition(double) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setRelation(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
setReln(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setRetrainFromScratchAfterSigmaTuning(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
If set to true, then when training a classifier, after an optimal sigma is chosen a model is relearned from scratch.
setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
setRoot(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
 
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
 
setScorer(Scorer<L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
 
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)
setSigma(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
setSigma(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setSigmaSquared(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setSigmaSquaredM(double[]) - Method in class edu.stanford.nlp.classify.LogPrior
 
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.ie.machinereading.structure.Span
 
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.
setStem(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
 
setSvmLightVerbosity(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
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) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Set the tag for the Label.
setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
 
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.trees.international.pennchinese.ChineseTreebankLanguagePack
 
setTol(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the tolerance.
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setTuneCV(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneHeldOut(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneMinimizer(LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setTuneSigmaCV sets the tuneSigmaCV flag: when turned on, the sigma is tuned by cross-validation.
setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
setTuneSigmaCV sets the tuneSigma flag: when turned on, the sigma is tuned by cross-validation.
setTuneSigmaHeldOut() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setTuneSigmaHeldOut sets the tuneSigmaHeldOut flag: when turned on, the sigma is tuned by means of held-out (70%-30%).
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.
setUseSigmoid(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Specify whether or not to train an overlying platt (sigmoid) model for producing meaningful probabilities.
setUseSum(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: nothing is actually done with this value! SetUseSum sets the useSum flag: when turned on, the Summed Conditional Objective Function is used.
setval(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
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(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
 
setVerbose(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the verbose flag for CGMinimizer.
setWeight(int, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
Set the weight of datum i.
setWeight(double) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
setWeights(double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
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
 
SGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
In place Stochastic Gradient Descent Minimizer.
SGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(LogPrior, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDToQNMinimizer - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) and executes SGD for the first couple passes.
SGDToQNMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDToQNMinimizer(double, int, int, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDToQNMinimizer(double, int, int, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
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
Map from Chinese GrammaticalRelation short names to their corresponding GrammaticalRelation objects.
shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
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.
showAllChannels() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Show all channels (with this handler, there may be upstream handlers).
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
 
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.RVFDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.WeightedDataset
Randomizes (shuffles) the data array in place.
shutUp() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
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.optimization.SGDMinimizer
 
sigmasToTry - Static variable in class edu.stanford.nlp.classify.LinearClassifierFactory
 
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.
simpleBinarizedLabels - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When binarizing trees, don't annotate the labels with anything
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
 
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.
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 - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
size() - Method in class edu.stanford.nlp.classify.GeneralDataset
Returns the number of examples (Datums) in the Dataset.
size() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
size() - Method in class edu.stanford.nlp.ling.IndexedWord
 
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
size() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the number of nodes in the graph
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.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.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.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.
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.
skipValCalc - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
slf4j - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to slf4j.
slf4j() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Run Redwood with SLF4J as the console backend
sList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
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 as a single String.
slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File as a single String.
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 as a single String.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File as a single String.
slurpInputStream(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
Read the contents of an input stream, decoding it according to the given character encoding.
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.
SMDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization

Stochastic Meta Descent Minimizer based on
Accelerated training of conditional random fields with stochastic gradient methods S.
SMDMinimizer() - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
SMDMinimizer(double, int, StochasticCalculateMethods, int) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
SMDMinimizer(double, int, StochasticCalculateMethods, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
smooth(List<double[]>) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
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
 
sourceTree - Variable in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
 
SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
Span - Class in edu.stanford.nlp.ie.machinereading.structure
Stores the offsets for a span of text Offsets may indicate either token or byte positions Start is inclusive, end is exclusive
Span(int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
This assumes that s <= e.
Span(Span...) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
Creates a span that encloses all spans in the argument list.
SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
SPANISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
 
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
 
SpanishVerbStripper - Class in edu.stanford.nlp.international.spanish
Provides a utility function for removing attached pronouns from Spanish verb forms.
SpanishVerbStripper.StrippedVerb - Class in edu.stanford.nlp.international.spanish
A struct describing the result of verb stripping.
spanString() - Method in class edu.stanford.nlp.trees.Tree
Return String of leaves spanned by this tree assuming they are CoreLabel's Throws an IllegalArgumentException if the leaves are not CoreLabels that contain text info as in the typical use case of a Tree generated by a pipeline
SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
 
SpeakerTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerTypeAnnotation
 
spearmanRankCorrelation(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
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(double) - Method in class edu.stanford.nlp.classify.Dataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(int, int) - Method in class edu.stanford.nlp.classify.Dataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(double) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(double) - Method in class edu.stanford.nlp.classify.RVFDataset
 
split(int, int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
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.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
splitContractionOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
splitCount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If we are predicting splits, we loop this many times
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 and then whitespace.
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'.
splitKeepDelimiter(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits on the given delimiter and returns the delimiters as well.
splitLinesKeepNewlines(String) - Static method in class edu.stanford.nlp.util.StringUtils
Split the text into pieces based on newlines.
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
Split a string on a given single character.
splitOnChar(String[], String, char) - Static method in class edu.stanford.nlp.util.StringUtils
Split on a given character, filling out the fields in the output array.
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.
splitOutFold(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
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).
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.
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".
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?".
SQNMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
Nocedal, Jorge, and Stephen J.
SQNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
SQNMinimizer() - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
SQNMinimizer(int, double, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
 
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
A standard Redwood configuration, which prints to the console with channels.
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.
stanfordDependencies - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
start() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
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.
startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
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
 
state - Variable in class edu.stanford.nlp.classify.CrossValidator.SavedState
 
StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
StatementTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StatementTextAnnotation
 
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 stem under annotation ann to the given CoreLabel.
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().
StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
This enumeratin was created to organize the selection of different methods for stochastic calculations.
StochasticDiffFunctionTester - Class in edu.stanford.nlp.optimization
 
StochasticDiffFunctionTester(Function) - Constructor for class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
StochasticMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer.
StochasticMinimizer() - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer
 
StochasticMinimizer.PropertySetter<T1> - Interface in edu.stanford.nlp.optimization
 
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
 
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.
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
 
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
 
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
 
StrippedVerb(String, List<String>) - Constructor for class edu.stanford.nlp.international.spanish.SpanishVerbStripper.StrippedVerb
 
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).
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.
subject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
The subject (first argument) of this triple
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" grammatical relation.
SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "subject" (subj) grammatical relation (abstract).
SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
The "subject" grammatical relation.
subjectGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The subject of this relation triple, as a String
subjectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The head of the subject of this relation triple.
subjectHead() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree
The head of the subject of this relation triple.
subjectLemmaGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The subject of this relation triple, as a String of the subject's lemmas.
subjectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple
The entity link of the subject
subjectLink - Variable in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
The canonical entity link of the subject
subjectLink() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithLink
The entity link of the subject
subjectTokenSpan() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Gets the span of the NON-CANONICAL subject.
subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
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 doubles.
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
 
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
summaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
Prints some summary statistics to stderr for the Dataset.
summaryStatistics() - Method in class edu.stanford.nlp.classify.GeneralDataset
Print some statistics summarizing the dataset
summaryStatistics() - Method in class edu.stanford.nlp.classify.RVFDataset
Prints some summary statistics to the logger for the Dataset.
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 2004.
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
 
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
Check if the console supports ANSI escape codes.
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
Whether our code provides support for converting phrase structure (constituency) parses to (basic) dependency parses.
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
 
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.
suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
SurpriseConvergence(String) - Constructor for exception edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
 
SVMLightClassifier<L,F> - Class in edu.stanford.nlp.classify
This class represents a trained SVM Classifier.
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
 
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>, LinearClassifier<L, L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
 
SVMLightClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
This class is meant for training SVMs (SVMLightClassifiers).
SVMLightClassifierFactory(String, String, String) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
SVMLightClassifierFactory() - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
SVMLightClassifierFactory(boolean) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
svmLightLineToDatum(String) - Static method in class edu.stanford.nlp.classify.Dataset
 
svmLightLineToRVFDatum(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
 
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
 
SystemUtils - Class in edu.stanford.nlp.util
Useful methods for running shell commands, getting the process ID, checking memory usage, etc.
SystemUtils.ProcessException - Exception in edu.stanford.nlp.util
Runtime exception thrown by execute.
SystemUtils.ProcessOutputStream - Class in edu.stanford.nlp.util
Helper class that acts as a output stream to a process

T

t0 - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
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_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
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.
tagFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
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
Returns a List<CoreLabel> from the 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.
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 - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Set of all tags as IntTaggedWord.
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
 
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 - Variable in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
tagString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
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
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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
 
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.international.pennchinese.UniversalChineseGrammaticalRelations
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
 
terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
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(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
 
testBatchSize - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testClassifier(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Test and evaluate classifier on examples available in a file (or URL, classpath resource, etc.)
testConditionNumber(int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testDerivatives(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the full gradient.
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
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
 
testSumOfBatches(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the full gradient.
TestTagProjection - Class in edu.stanford.nlp.parser.lexparser
 
TestTagProjection() - Constructor for class edu.stanford.nlp.parser.lexparser.TestTagProjection
 
testVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
Stores the complete string passed in as the tag on construction.
TEXT_SERIALIZATION_DELIMITER - Static variable in class edu.stanford.nlp.classify.LinearClassifier
 
TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
 
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.parser.lexparser.NegraPennCollinizer
 
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
 
thisBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
thisFunc - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
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 - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Multithreading gradient calculations is a bit cheaper if you reuse the threads.
threads - Static variable in class edu.stanford.nlp.util.ArgumentParser
 
threadSafeAddRelation(GrammaticalRelation) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
This method is meant to be called when you want to add a relation to the values list in a thread-safe manner.
throwableToStackTrace(Throwable) - Static method in class edu.stanford.nlp.io.IOUtils
 
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.
TIME - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "temporal clause" grammatical relation.
TIME_POSTPOSITION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "localizer object" grammatical relation.
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.
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.
tlPPClassName - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
to1D(double[][]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
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
 
to3D(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
 
toAllWeightsString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
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
 
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
 
toBiggestWeightFeaturesString(boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Return a String that prints features with large weights.
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.
toCopyIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
 
toCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns a CoreAnnotation class key for the given string key if one exists; null otherwise.
toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
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.SentenceUtils
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
 
toDistributionString(int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Similar to histogram but exact values of the weights to see whether there are many equal weights.
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.
toExclusive() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Convert an end-inclusive span to an end-exclusive span.
toExtraDepsString(HashMap<String, String>) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
Converts an extra dependencies hash map to a string to be used in a CoNLL-U file.
toFeatureString(HashMap<String, String>) - Static method in class edu.stanford.nlp.trees.ud.CoNLLUUtils
Converts a feature HashMap to a feature string to be used in a CoNLL-U file.
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.
toHistogramString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toInclusive() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Convert an end-exclusive span to an end-inclusive span.
toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints in the specified order.
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.
TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
 
TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
 
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.
Tokenizer<T> - Interface in edu.stanford.nlp.process
Tokenizers break up text into individual Objects.
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 a factory that can build a Tokenizer (an extension of Iterator) from a java.io.Reader.
TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
 
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, NumberFormat) - 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.
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.
TOP_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "topic" grammatical relation.
topFeaturesToString(List<Triple<F, L, Double>>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns string representation of a list of top features
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.graph.DirectedMultiGraph
Topological sort of the graph.
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.
toQaSrlString(CoreMap) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Print in the format expected by Gabriel Stanovsky and Ido Dagan, Creating a Large Benchmark for Open Information Extraction, EMNLP 2016.
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
 
toReverbString(String, CoreMap) - Method in class edu.stanford.nlp.ie.util.RelationTriple
Print a description of this triple, formatted like the ReVerb outputs.
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(List<?>) - 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.classify.Dataset
 
toString() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print out a partial representation of a linear classifier.
toString(String, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print out a partial representation of a linear classifier in one of several ways.
toString() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
toString() - Method in class edu.stanford.nlp.classify.RVFDataset
 
toString() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
toString() - Method in class edu.stanford.nlp.ie.util.RelationTriple
Print a human-readable description of this relation triple, as a tab-separated line.
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.BasicDatum
Returns a String representation of this BasicDatum (lists features and labels).
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
Allows choices of how to format Label.
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.RVFDatum
Returns a String representation of this BasicDatum (lists features and labels).
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.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(double[][], int, Object[], Object[], int, NumberFormat, boolean, boolean, Object) - 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.math.DoubleAD
 
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.TreeCollinizer
 
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.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
The goal is to return a string which will be compiled to the same pattern
toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
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.MultiClassAccuracyStats
 
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.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.DescriptionPattern
 
toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
 
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.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.IntTuple
 
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.ScoredComparator
 
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.TwoDimensionalMap.Entry
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
toStringArr(int[]) - Static method in class edu.stanford.nlp.stats.AccuracyStats
 
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, Function<Label, String>) - 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.
toSummaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
A String that is multiple lines of text giving summary statistics.
toSummaryString() - Method in class edu.stanford.nlp.classify.Dataset
 
toSummaryString() - Method in class edu.stanford.nlp.classify.RVFDataset
 
toTaggedList(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
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
 
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
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.
totalSize() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toTiedRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Converts a counter to tied ranks; ranks start from 1
toTitleCase(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.SentenceUtils
Create an ArrayList as a list of Word from a list of String.
toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.SentenceUtils
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.SentenceUtils
 
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(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
train(GeneralDataset<L, F>, double, double) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
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
 
trainClassifier(Collection<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Collection of Datum objects and gives you back a Classifier trained on it.
trainClassifier(Reference<? extends Collection<Datum<L, F>>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Reference to a Collection of Datum objects and gives you back a Classifier trained on them
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Trains a Classifier on a Dataset.
trainClassifier(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.ClassifierFactory
 
trainClassifier(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
 
trainClassifier(Iterable<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, float[], LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, LogPrior, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, Set<F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
The examples are assumed to be a list of RFVDatum.
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
trainClassifierBasic(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
trainClassifierSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
IMPORTANT: dataset and biasedDataset must have same featureIndex, labelIndex
trainClassifierV(GeneralDataset<L, F>, GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierV(GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierWithInitialWeights(GeneralDataset<L, F>, double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifierWithInitialWeights(GeneralDataset<L, F>, LinearClassifier<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
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
 
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
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.
trainWeightedData(GeneralDataset<L, F>, float[]) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
trainWeightedData(GeneralDataset<L, F>, float[]) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>, double[], boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
 
trainWeightsSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
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
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(Function<V, V2>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Transforms this map into a new map using the given transform function.
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) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennCollinizer
 
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
 
transformValuesInPlace(Counter<E>, DoubleUnaryOperator) - 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.
translate(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Move a span by the given amount.
traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Attempt to locate head daughter tree from among daughters.
treatCollectionsAsImmutable - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
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 extensible type.
Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
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.
treebankForLanguage(String) - Static method in enum edu.stanford.nlp.international.Language
 
TreebankLangParserParams - Interface in edu.stanford.nlp.parser.lexparser
Contains language-specific methods commonly necessary to get a 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, typically 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 CoreMaps 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.KBestTreesAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a list of k-best parses.
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 TreeGraphNodes.
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 {@code 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 tree nodes of type TreeGraphNode.
TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
Make a TreeFactory that produces TreeGraphNodes.
TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
Make a TreeFactory that produces TreeGraphNodes.
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.
treeNormalizer - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
 
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
Creates an ArabicTreeReaderFactory with parameters set via options passed in from the command line.
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.
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
A TregexMatcher can be used to match a TregexPattern against a Tree.
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 regular expression-like pattern that is designed to match node configurations within a Tree where the nodes are labeled with symbols, rather than a character string.
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
An extension of AbstractTreebankParserParams which provides support for Tregex-powered annotations.
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
 
trimData() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimLabels() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(int[]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(int[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(double[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimWithEllipsis(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
trimWithEllipsis(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
 
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.
tryEta(AbstractStochasticCachingDiffUpdateFunction, double[], int[], double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
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 Trees 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.
tune(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tune(AbstractStochasticCachingDiffUpdateFunction, double[], int, double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
Finds a good learning rate to start with.
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tune(Function, double[], long, List<Integer>, List<Double>) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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.
tuneBatch(Function, double[], long, int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneFixedGain(Function, double[], long, double) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tuneGain(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuningSamples - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
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.
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.
typedDependenciesEnhanced() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
 
typedDependenciesEnhancedPlusPlus() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
 
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.
typeEquals(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
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.

U

UBlockAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
UCL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
UCPtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains an UCP, it will change the UCP tag into the phrasal tag of the first word of the UCP (UCP (JJ electronic) (, ,) (NN computer) (CC and) (NN building)) will become (ADJP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
UnaryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
unaryCP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
unaryDT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" DT.
unaryIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" IN.
unaryIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: unary category marking
unaryPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
"Intransitive" PRP.
unaryRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" RB.
unbind(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
 
unbox(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unboxToInt(Collection<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
uncheckedCast(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
Casts an Object to a T
UnclosedQuotationsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnclosedQuotationsAnnotation
 
UNDERLINE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
unEscape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Reverts escaping from a flat string.
unescapeHtml3(String) - Static method in class edu.stanford.nlp.util.StringUtils
Unescape an HTML string.
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
unicodeToBuckwalter(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
union(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
The union of two spans.
union(C, C) - Static method in class edu.stanford.nlp.stats.Counters
Returns a Counter that is the union of the two Counters passed in (counts are added).
union(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
union(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the union of sets s1 and s2.
unionAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
unionAsSet(Collection<T>...) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
uniqueNonhashableObjects(Collection<ObjType>, Function<ObjType, Hashable>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Makes it possible to uniquify a collection of objects which are normally non-hashable.
UniversalChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
UniversalChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese
A GrammaticalStructure for Chinese.
UniversalChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
UniversalChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
UniversalChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
UniversalChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
 
UniversalChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
Used for postprocessing CoNLL X dependencies
UniversalChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
UniversalChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
UniversalChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructureFactory
 
UniversalChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructureFactory
 
UniversalChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructureFactory
 
UniversalChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder.
UniversalChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseSemanticHeadFinder
 
UniversalChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseSemanticHeadFinder
 
UniversalEnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
UniversalEnglishGrammaticalRelations is a set of GrammaticalRelation objects according to the Universal Dependencies standard.
UniversalEnglishGrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure for Universal Dependencies English.
UniversalEnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Construct a new EnglishGrammaticalStructure from an existing parse tree.
UniversalEnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
This gets used by GrammaticalStructureFactory (by reflection).
UniversalEnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
UniversalEnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Used for postprocessing CoNLL X dependencies
UniversalEnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
 
UniversalEnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
 
UniversalEnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructureFactory
 
UniversalEnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructureFactory
 
UniversalEnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructureFactory
 
UniversalPOSMapper - Class in edu.stanford.nlp.trees
Helper class to perform a context-sensitive mapping of POS tags in a tree to universal POS tags.
UniversalSemanticHeadFinder - Class in edu.stanford.nlp.trees
Implements a 'semantic head' variant of the the HeadFinder found in Michael Collins' 1999 thesis.
UniversalSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
 
UniversalSemanticHeadFinder(boolean) - Constructor for class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
 
UniversalSemanticHeadFinder(TreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
Create a SemanticHeadFinder.
universalValues - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
universalValues - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
unknown - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
UNKNOWN_WORD - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
UnknownAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
unknownCapsVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector for words with caps in them
unknownChineseNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese numbers
unknownChinesePercentVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese percentages
unknownChineseYearVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese years
unknownDashedWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to handle unknown dashed words by taking the last part
unknownNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector specifically for numbers
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
For certain Lexicons, a certain number of word-initial letters are used to subclassify the unknown token.
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
For certain Lexicons, a certain number of word-final letters are used to subclassify the unknown token.
UnknownWordModel - Interface in edu.stanford.nlp.parser.lexparser
This class defines the runtime interface for unknown words in lexparser.
UnknownWordModelTrainer - Interface in edu.stanford.nlp.parser.lexparser
An interface for training an UnknownWordModel.
unkWord - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Some models will use external data sources which contain information about unknown words.
unlock() - Method in class edu.stanford.nlp.util.HashIndex
Unlocks the Index.
unlock() - Method in interface edu.stanford.nlp.util.Index
Unlocks the Index.
unmodifiableCounter(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
Returns unmodifiable view of the counter.
unmodifiableView() - Method in class edu.stanford.nlp.util.HashIndex
Returns an unmodifiable view of the Index.
UnnamedConcreteDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedConcreteDependency(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, int, Label, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedDependency(String, String) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
unorderedTypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of unordered (but directed!) typed word-word dependencies for the tree.
unorderedUntypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of unordered (but directed!) untyped word-word dependencies for the tree.
unread() - Method in class edu.stanford.nlp.util.StringParsingTask
 
unSeenCounter() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Returns a Counter from IntTaggedWord to how often they have been seen.
unseenSmooth - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The amount of smoothing put in (as an m-estimate) for unknown words.
untypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of untyped word-word dependencies for the tree.
updateBrackets(String) - Static method in class edu.stanford.nlp.trees.Tree
 
updateDiagBFGS(double[], double[], double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
updateLabels(int[]) - Method in class edu.stanford.nlp.classify.Dataset
 
upperMostUnary(Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the highest node of the (perhaps trivial) unary chain that this node is part of.
usage(Class[]) - Static method in class edu.stanford.nlp.util.ArgumentParser
Return a string describing the usage of the program this method is called from, given the options declared in the given set of classes.
usage(Object[]) - Static method in class edu.stanford.nlp.util.ArgumentParser
Return a string describing the usage of the program this method is called from, given the options declared in the given set of objects.
usage(Class<?>) - Static method in class edu.stanford.nlp.util.ArgumentParser
Return a string describing the usage of the program this method is called from, given the options declared in the given class.
usage(Object) - Static method in class edu.stanford.nlp.util.ArgumentParser
Return a string describing the usage of the program this method is called from, given the options declared in the given object.
USE_ACCURACY - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
USE_LOGLIKELIHOOD - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useCharacterBasedLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether dependent distance is distinguished more coarsely.
useConjugateGradientAscent(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer, with the passed verbose flag.
useConjugateGradientAscent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer.
useContextWords - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Specifically for the DVModel, uses words on either side of a context when combining constituents.
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether dependent distance from head is distinguished.
useFastFactored - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, use approximate factored algorithm, which just rescores PCFG k best, rather than exact factored algorithm.
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useHybridMinimizer() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizer(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizerWithInPlaceSGD(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInPlaceStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInPlaceStochasticGradientDescent(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useLexiconToScoreDependencyPwGt - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this is true, the Lexicon is used to score P(w|t) in the backoff inside the dependency grammar.
UseMarkedDiscourseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UseMarkedDiscourseAnnotation
 
useMaxentDepGrammar - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMaxentLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useN5 - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, the n^4 "speed-up" is not used with the Factored Parser.
useNonProjectiveDependencyParser - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this is true, perform non-projective dependency parsing.
useOWLQN(boolean, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer
To set QNMinimizer to use L1 regularization, call this method before use, with the boolean set true, and the appropriate lambda parameter.
useQuasiNewton() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to QuasiNewton.
useQuasiNewton(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Whether to use signature rather than just being unknown as prior in known word smoothing.
useSimilarWordMap - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useSmoothTagProjection - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
useStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescent(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescentToQuasiNewton(double, int, int, int, int, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticQN(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useSummedConditionalLikelihood - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
useUnicodeType - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Make use of unicode code point types in smoothing.
useUnigramWordSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
useUnknownCharacterModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useUnknownWordSignatures - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Whether to use suffix and capitalization information for unknowns.
UTF8EquivalenceFunction - Class in edu.stanford.nlp.util
A word function that can be applied to Chinese text in the tagger or similar systems to make it treat ( and ( the same.
UTF8EquivalenceFunction() - Constructor for class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
UtteranceAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
 
UTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
uwModel - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Model for unknown words that the lexicon should use.
uwModelTrainerClass - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 

V

v - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
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() - 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 - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
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(double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
valueAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
valueAt(x,batchSize) derivativeAt(x,batchSize) invokes the calculateStochastic function to get the current value at x for the next batchSize data points.
valueAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
This function will return the stochastic approximation at the point x.
valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Computes value of function for specified value of x (scaled by xScale) only over samples indexed by batch.
valueAt(double[], double, int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
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.
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.classify.LogPrior.LogPriorType
Returns the enum constant of this type with the specified name.
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.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(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.AbstractStochasticCachingDiffFunction.SamplingMethod
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.pipeline.LanguageInfo.HumanLanguage
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.DashesEnum
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.EllipsesEnum
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.process.LexerUtils.QuotesEnum
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, Language) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph
Tries to parse a String representing a SemanticGraph.
valueOf(String) - Static method in class edu.stanford.nlp.semgraph.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.semgraph.semgrex.SemgrexPattern.OutputFormat
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>, Lock) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the GrammaticalRelation having the given string representation (e.g.
valueOf(String, Map<String, 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.GrammaticalStructureConversionUtils.ConverterOptions
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.international.pennchinese.UniversalChineseGrammaticalRelations
 
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.
values - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Same size as data if the features have values; null if the features are binary.
values() - Static method in enum edu.stanford.nlp.classify.LogPrior.LogPriorType
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.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.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.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
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.pipeline.LanguageInfo.HumanLanguage
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.LexerUtils.DashesEnum
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.LexerUtils.EllipsesEnum
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.LexerUtils.QuotesEnum
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.semgraph.semgrex.SemgrexPattern.OutputFormat
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 class edu.stanford.nlp.trees.EnglishGrammaticalRelations
Return a synchronized list of the known GrammaticalRelation entries.
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.GrammaticalStructureConversionUtils.ConverterOptions
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
Return an unmodifiable list of grammatical relations.
values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
Return an unmodifiable list of grammatical relations.
values() - 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() - 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.TwoDimensionalMap
 
valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
If you need exclusive access to these values lists, then you should take out a valuesLock.
valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
Returns a readLock for the grammatical relations values list.
valuesLock - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
valuesLock() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
valuesLock() - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
 
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.
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "coordinated verb compound" grammatical relation.
VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
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.classify.SVMLightClassifierFactory
 
verbose - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Print a lot of extra output as you parse.
VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
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
 
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.
vpSubCat - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Pitiful attempt at marking V* preterms with their surface subcat frames.

W

w - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
warn(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
warn(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
warnf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log to the warn channel.
warning(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
warning(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
wasSuccessful() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
weakHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a WeakHashMap.
WebAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
weight(F, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
WeightedDataset<L,F> - Class in edu.stanford.nlp.classify
 
WeightedDataset(Index<L>, int[], Index<F>, int[][], int, float[]) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset() - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset(int) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedRVFDataset<L,F> - Class in edu.stanford.nlp.classify
A weighted version of the RVF dataset.
WeightedRVFDataset() - Constructor for class edu.stanford.nlp.classify.WeightedRVFDataset
 
WeightedRVFDataset(Index<L>, int[], Index<F>, int[][], double[][], float[]) - Constructor for class edu.stanford.nlp.classify.WeightedRVFDataset
 
weights() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
weights - Variable in class edu.stanford.nlp.classify.WeightedDataset
 
Weights(double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
Weights(double[], double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
weightsAsCounter() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
weightsAsMapOfCounters() - Method in class edu.stanford.nlp.classify.LinearClassifier
This method returns a map from each label to a counter of feature weights for that label.
WESTERN_SMILEY - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
WHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WHITE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
WHITEPLUS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WhitespaceTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
A WhitespaceTokenizer is a tokenizer that splits on and discards only whitespace characters.
WhitespaceTokenizer(LexedTokenFactory, Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
Constructs a new WhitespaceTokenizer.
WhitespaceTokenizer.WhitespaceTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
A factory which vends WhitespaceTokenizers.
WhitespaceTokenizerFactory(LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizerFactory(LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizerFactory(LexedTokenFactory<T>, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WikipediaEntityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WikipediaEntityAnnotation
 
wildTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
WithLink(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double, SemanticGraph, String, String) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple.WithLink
Create a new relation triple
WithTree(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, SemanticGraph, double) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple.WithTree
Create a new triple with known values for the subject, relation, and object.
WithTree(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double, SemanticGraph) - Constructor for class edu.stanford.nlp.ie.util.RelationTriple.WithTree
Create a new triple with known values for the subject, relation, and object, along with their canonical spans (i.e., resolving coreference) For example, "(cats, play with, yarn)"
word - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the word value of the label (or null if none).
word() - Method in interface edu.stanford.nlp.ling.HasWord
Return the word value of the label (or null if none).
word() - Method in class edu.stanford.nlp.ling.IndexedWord
 
Word - Class in edu.stanford.nlp.ling
A Word object acts as a Label by containing a String.
Word() - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word with a null value.
Word(String) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(String, int, int) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(Label) - Constructor for class edu.stanford.nlp.ling.Word
Creates a new word whose word value is the value of any class that supports the Label interface.
word() - Method in class edu.stanford.nlp.ling.Word
 
word() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
word() - Method in class edu.stanford.nlp.ling.WordTag
 
word() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
word - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
word() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
wordClassesFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
A file of word class data which may be used for smoothing, normally instead of hand-specified signatures.
WordFactory - Class in edu.stanford.nlp.ling
A WordFactory acts as a factory for creating objects of class Word.
WordFactory() - Constructor for class edu.stanford.nlp.ling.WordFactory
Creates a new WordFactory.
WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
wordFromString(String) - Static method in class edu.stanford.nlp.ling.CoreLabel
This is provided as a simple way to make a CoreLabel for a word from a String.
wordFunction - Variable in class edu.stanford.nlp.parser.lexparser.Options
A function that maps words used in training and testing to new words.
wordId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
WordLemmaTag - Class in edu.stanford.nlp.ling
A WordLemmaTag corresponds to a pair of a tagged (e.g., for part of speech) word and its lemma.
WordLemmaTag(String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag() - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag from a Label.
WordLemmaTagFactory - Class in edu.stanford.nlp.ling
A WordLemmaTagFactory acts as a factory for creating objects of class WordLemmaTag.
WordLemmaTagFactory() - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
WordLemmaTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
WordNetConnection - Interface in edu.stanford.nlp.trees
Allows us to verify that a wordnet connection is available without compile time errors if the package is not found.
wordNetContains(String) - Method in interface edu.stanford.nlp.trees.WordNetConnection
 
WordnetSynAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
 
WordPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
 
words - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
WordSegmenter - Interface in edu.stanford.nlp.process
An interface for segmenting strings into words (in unwordsegmented languages).
WordSegmentingTokenizer - Class in edu.stanford.nlp.process
A tokenizer that works by calling a WordSegmenter.
WordSegmentingTokenizer(WordSegmenter, Reader) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
WordSegmentingTokenizer(WordSegmenter, Tokenizer<CoreLabel>) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
wordShape(String, int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the String and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
wordShape(String, int, Collection<String>) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the string and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
WORDSHAPECHINESE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS4 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris4(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WordShapeClassifier - Class in edu.stanford.nlp.process
Provides static methods which map any String to another String indicative of its "word shape" -- e.g., whether capitalized, numeric, etc.
WORDSHAPECLUSTER1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDIGITS - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WordStemmer - Class in edu.stanford.nlp.trees
Stems the Words in a Tree using Morphology.
WordStemmer() - Constructor for class edu.stanford.nlp.trees.WordStemmer
 
wordString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
WordTag - Class in edu.stanford.nlp.ling
A WordTag corresponds to a tagged (e.g., for part of speech) word and is implemented with String-valued word and tag.
WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag.
WordTag(String) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(E) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag from a Label.
WordTagFactory - Class in edu.stanford.nlp.ling
A WordTagFactory acts as a factory for creating objects of class WordTag.
WordTagFactory() - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTokenFactory - Class in edu.stanford.nlp.process
Constructs a Word from a String.
WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
wordToString(T, boolean) - Static method in class edu.stanford.nlp.ling.SentenceUtils
 
wordToString(T, boolean, String) - Static method in class edu.stanford.nlp.ling.SentenceUtils
 
wordVectorFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
WORKING - Static variable in class edu.stanford.nlp.classify.ClassifierExample
 
write(int) - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
write(int) - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
writeClassifier(LinearClassifier<?, ?>, String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
Convenience wrapper for IOUtils.writeObjectToFile.
writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
Default is to throw exception.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Writes out data from this Object to the Writer w.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
writeData(PrintWriter) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Write to text grammar.
writeData(Writer) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Write the lexicon in human-readable format to the Writer.
writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Writes out data from this Object to the Writer w.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.Options
 
writeObjectToFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToFile(Object, File) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFile(Object, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToTempFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to temp file which is destroyed when the program exits.
writeObjectToTempFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a temp file and ignore exceptions.
writeOutputFiles - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, write files parsed to a new file with the same name except for an added ".stp" extension.
writeStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
writeStreamToStream(InputStream, OutputStream) - Static method in class edu.stanford.nlp.io.IOUtils
Send all bytes from the input stream to the output stream.
writeStringToFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a file.
writeStringToFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a file, squashing exceptions
writeStringToTempFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file.
writeStringToTempFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file, as UTF-8
writeStringToTempFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file, squashing exceptions
writeStringToTempFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file with UTF-8 encoding, squashing exceptions
writeSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
Write the dataset in SVM-light format to the file.
writeSVMLightFormat(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
 

X

x - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
x - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
An open clausal complement (xcomp) of a VP or an ADJP is a clausal complement without its own subject, whose reference is determined by an external subject.
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "xclausal complement" grammatical relation.
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
The "xclausal complement" (xcomp) grammatical relation.
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
An open clausal complement (xcomp) of a VP or an ADJP is a clausal complement without its own subject, whose reference is determined by an external subject.
xcompNoObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
xcompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
XmlContextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
 
XmlElementAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
 
XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag
Assumes that String contains an XML tag.
XMLUtils - Class in edu.stanford.nlp.util
Provides some utilities for dealing with XML files, both by properly parsing them and by using the methods of a desperate Perl hacker.
XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
xnorm - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
xPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
xscale - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 

Y

YearAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
YELLOW - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
yield(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the yield of a node, i.e., all descendents of the node.
yield() - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(ArrayList<Label>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(List<T>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yieldHasWord() - Method in class edu.stanford.nlp.trees.Tree
 
yieldHasWord(ArrayList<X>) - Method in class edu.stanford.nlp.trees.Tree
 
yieldSpan(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the span of the subtree yield of this node.
yieldWords() - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords(ArrayList<Word>) - Method in class edu.stanford.nlp.trees.Tree
 
yList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
yylex() - Method in interface edu.stanford.nlp.io.Lexer
Gets the next token from input and returns an integer value signalling what to do with the token.
yyreset(Reader) - Method in interface edu.stanford.nlp.io.Lexer
put a Reader inside the Lexer.
yytext() - Method in interface edu.stanford.nlp.io.Lexer
returns the matched input text region

Z

ZERO_TGN_CHILDREN - Static variable in class edu.stanford.nlp.trees.TreeGraphNode
A leaf node should have a zero-length array for its children.
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