A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns |c1 - c2|.
AbstractCachingDiffFloatFunction - Class in edu.stanford.nlp.optimization
 
AbstractCachingDiffFloatFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization
 
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
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
 
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
 
AbstractListProcessor<IN,OUT> - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
 
AbstractSequenceClassifier - Class in edu.stanford.nlp.ie
This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
This does nothing.
AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
 
AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
 
AbstractTokenizer<T> - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
 
accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter
Checks whether a file satisfies the selection filter.
accept(T) - Method in interface edu.stanford.nlp.util.Filter
Checks if the given object passes the filter.
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
The acceptFilter accepts everything.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
 
AcquisitionsPrior - Class in edu.stanford.nlp.ie
 
AcquisitionsPrior(String, Index<String>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.AcquisitionsPrior
 
acronymMatch(String, String, HashMap) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
AcronymModel - Class in edu.stanford.nlp.ie.pascal
Scores Pascal challenge workshop information templates.
AcronymModel() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel
 
AcronymModel.AfterAligned - Class in edu.stanford.nlp.ie.pascal
Percent of letters aligned immediately after another aligned letter.
AcronymModel.AfterAligned() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
AcronymModel.AlignedPerWord - Class in edu.stanford.nlp.ie.pascal
Average number of aligned letters per word.
AcronymModel.AlignedPerWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
AcronymModel.BegWord - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.BegWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
AcronymModel.EndWord - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.EndWord() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
AcronymModel.Feature - Interface in edu.stanford.nlp.ie.pascal
 
AcronymModel.LettersAligned - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.LettersAligned() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
AcronymModel.SyllableBoundary - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.SyllableBoundary() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
AcronymModel.WordsSkipped - Class in edu.stanford.nlp.ie.pascal
 
AcronymModel.WordsSkipped() - Constructor for class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
NER adapation (Gaussian prior) parameters.
adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
add(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns this + addend does not change receiver.
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(double, double[], double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
add(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap
Adds an object to the heap.
add(T) - Method in class edu.stanford.nlp.util.Beam
 
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 add's return conditions.
add(String) - Method in class edu.stanford.nlp.util.FileLines
Unsupported Operation.
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 interface edu.stanford.nlp.util.Heap
Adds the object to the heap.
add(E) - Method in class edu.stanford.nlp.util.Index
Adds an object to the 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 add's return conditions.
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(Collection<? extends List<CoreLabel>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.addInPlace(Counter, Counter).
addAll(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use own loop.
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(TwoDimensionalCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(K1, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.util.FileLines
Unsupported Operation.
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.Index
Adds every member of Collection to the Index.
addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) - Method in class edu.stanford.nlp.sequences.FeatureFactory
Makes more complete feature names out of partial feature names, by adding a suffix to the String feature name, adding results to an accumulator
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
addChild(Tree) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
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.
addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Shifts the values in this array by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Shifts the values in this array by b.
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 target.
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]
addKnownLowerCaseWords(Collection) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
addLabel(Object) - Method in class edu.stanford.nlp.ling.BasicDocument
Adds the given label to the List of labels for this Document if it is not null.
addMultiple(Counter<E>, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.addInPlace(Counter, Counter, double)
addProcessedData(List, int[][][][], int[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Adds the List of Lists of CRFDatums to the data and labels arrays, treating each datum as if it were its own document.
addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
 
after() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String after the word.
Alignment - Class in edu.stanford.nlp.ie.pascal
Container class for aligning acronyms.
Alignment(char[], char[], int[]) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
 
Alignment(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
 
AlignmentFactory - Class in edu.stanford.nlp.ie.pascal
Generates Alignment objects for acronym alignment.
AlignmentFactory(String, String) - Constructor for class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
AlignmentFactory(char[], char[]) - Constructor for class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
allLabels(int, Index) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
andFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts only when both filters accept (AND).
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
AnnotationLookup - Class in edu.stanford.nlp.ling
 
AnnotationLookup.KeyLookup - Enum in edu.stanford.nlp.ling
 
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
appendAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Append this String to the current after String
appendAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
Append this String to the current after String
appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Maps a String input to an XML-formatted rendition of applying NER to the String.
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
 
apply(Object) - 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(T1) - Method in interface edu.stanford.nlp.util.Function
Converts a T1 to a different T2.
applyInitialHessian(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
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 this Counter with the largest count.
argmax(Comparator) - 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 largest count.
argmin(Comparator) - 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
Analagous to StringUtils.argsToMap(java.lang.String[]).
Array - Interface in edu.stanford.nlp.linalg
Interface for dense or sparse arrays which store numbers.
ARRAY_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
ArrayCoreMap - Class in edu.stanford.nlp.util
Base implementation of CoreMap backed by 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 MapNLPObject, 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.
ArrayHeap<E> - Class in edu.stanford.nlp.util
Implements a heap as an ArrayList.
ArrayHeap(Comparator<E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap
Create an ArrayHeap.
ArrayHeap(Comparator<E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
 
ArrayMap<K,V> - Class in edu.stanford.nlp.util
ArrayMap: A map that is 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
 
ArrayMath - Class in edu.stanford.nlp.math
Class ArrayMath
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.
ArrayUtils() - Constructor for class edu.stanford.nlp.util.ArrayUtils
Should not be instantiated
asArray(List<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
asciiToChar(byte) - Static method in class edu.stanford.nlp.maxent.Convert
 
asciiToNative(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
asciiToNative(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
asFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns this (the features are the list of words).
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable
returns Object as a Collection of its features
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.
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a map view of the given counter.
asPriorityQueue() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.toPriorityQueue(Counter)
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return a set containing the same elements as the specified array.
asSortedList() - Method in class edu.stanford.nlp.util.Beam
 
asTreeIterator() - Method in class edu.stanford.nlp.trees.PennTreeReader
Returns an iterator over Trees which is backed by this PennTreeReader.
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.ClassicCounter
Deprecated. Use Counters.mean(Counter).
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the mean of all the counts (totalCount/size).

B

BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
backgroundSymbol() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BasicDocument - Class in edu.stanford.nlp.ling
Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory) - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
BasicDocument(Collection) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
Beam<T> - Class in edu.stanford.nlp.util
Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int, Comparator) - Constructor for class edu.stanford.nlp.util.Beam
 
BeamBestSequenceFinder - Class in edu.stanford.nlp.sequences
An class capable of computing the best sequence given a SequenceModel.
BeamBestSequenceFinder(int) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
 
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder
 
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceSampler
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences
An interface for classes capable of computing the best sequence given a SequenceModel.
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
binnedLengths - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bioSubmitOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
blankDocument() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a new empty BasicDocument with the same title, labels, and tokenizer as this Document.
blankDocument() - Method in interface edu.stanford.nlp.ling.Document
Returns a new empty Document with the same meta-data (title, labels, etc) as this Document.
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor
Block-level HTML tags that are rendered with surrounding line breaks.
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BOUNDARY - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
bracketed - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
breakingTags - Static variable in class edu.stanford.nlp.util.XMLUtils
Block-level HTML tags that are rendered with surrounding line breaks.
bSize - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 

C

c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The underlying Collection of input sources.
cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
calculate(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
Calculate the value at x and the derivative and save them in the respective fields
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
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
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.
calculateStochasticGradientOnly(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
calculateWeird(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
capacity() - Method in class edu.stanford.nlp.util.Beam
 
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
Uppercases the first character of a string.
cardinality() - Method in interface edu.stanford.nlp.linalg.Array
Returns number of nonzero entries in array
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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).
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.
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.
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
charToAscii(char) - Static method in class edu.stanford.nlp.maxent.Convert
 
checkFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no 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.
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' 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' removed.
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
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(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.
classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
classIndex - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
clear() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
clear() - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes all counts from this 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.util.ArrayHeap
Clears the heap.
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Clears the queue.
clear() - Method in class edu.stanford.nlp.util.FileLines
Unsupported Operation.
clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
clear() - Method in class edu.stanford.nlp.util.Index
Clears this Index.
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 :-)
clearDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank
If you are keeping the contents in memory, this will clear hte memory, and they will be recomputed the next time iterator() is called.
clearMemory() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
clearSubstringList() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
Clique - Class in edu.stanford.nlp.sequences
This class is meant to represent a clique in a (directed or undirected) linear-chain graphical model.
cliqueC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3Cp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3Cp4Cp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
CliqueTemplates - Class in edu.stanford.nlp.ie.pascal
Template information and counters corresponding to sampling on one document.
CliqueTemplates() - Constructor for class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
clone() - Method in interface edu.stanford.nlp.linalg.Array
Returns deep copy of Array
clone() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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.
close() - Method in class edu.stanford.nlp.trees.PennTreeReader
Close the Reader behind this TreeReader.
close() - Method in interface edu.stanford.nlp.trees.TreeReader
Close the Reader behind this TreeReader.
codeTable - Static variable in class edu.stanford.nlp.maxent.Convert
 
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.
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.
collectSamples(SequenceModel, int, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
collectSamples(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for column format
ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
columnIndex() - Method in interface edu.stanford.nlp.linalg.Array
Returns column index of column vector
combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
comparator(boolean) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.toComparator(edu.stanford.nlp.stats.Counter) and Collections.reverseOrder(Comparator) if necessary.
comparator(boolean, boolean) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.toComparator(edu.stanford.nlp.stats.Counter)
comparator() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.toComparator(edu.stanford.nlp.stats.Counter)
comparator(boolean) - Method in class edu.stanford.nlp.stats.IntCounter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective counts.
comparator(boolean, boolean) - Method in class edu.stanford.nlp.stats.IntCounter
Returns a comparator suitable for sorting this Counter's keys or entries by their respective value or magnitude (unsigned value).
comparator() - Method in class edu.stanford.nlp.stats.IntCounter
Comparator that sorts objects by (increasing) count.
compare(Object, Object) - Method in class edu.stanford.nlp.util.EntryValueComparator
Compares the values of the two given Map.Entry objects in the given order.
compare(Object, Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
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(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
Compares two MutableDouble objects numerically.
compareTo(Object) - Method in class edu.stanford.nlp.util.MutableDouble
Compares this MutableDouble object to another object.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
Compares two MutableInteger objects numerically.
compareTo(Object) - Method in class edu.stanford.nlp.util.MutableInteger
Compares this MutableInteger object to another object.
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair
Compares this Pair to another object.
completionTime - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
computeProb(InfoTemplate) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
Scores the partial template containing only the fields relevant to the score.
computeProb(PascalTemplate) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
Scores the PascalTemplate using the fields it contains which are relevant to the score.
computeProb(PascalTemplate) - Method in interface edu.stanford.nlp.ie.pascal.RelationalModel
 
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
 
conditionalize(List) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a GeneralizedCounter conditioned on the given top level object.
conditionalLogProb(int[], int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
conditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the sequence OF being at the end of the table given that the first tag in table is GIVEN.
conditionalLogProbGivenNext(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the tag OF being at the beginning of the table given that the tag sequence GIVEN is at the end of the table.
conditionalLogProbGivenPrevious(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the tag OF being at the end of the table given that the previous tag sequence in table is GIVEN.
conditionalLogProbsGivenPrevious(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probabilities of the tag at the end of the table given that the previous tag sequence in table is GIVEN.
condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenNext(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenPrevious(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, Object, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for CoNLL 03 format.
CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
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.
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(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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.FileLines
Can be slow.
contains(Object) - Method in class edu.stanford.nlp.util.Index
Checks whether an Object already has an index in the Index
contains(Object) - Method in interface edu.stanford.nlp.util.IndexInterface
 
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
containsAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
containsAll(Collection<?>) - Method in class edu.stanford.nlp.util.FileLines
Can be slow.
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
containsKey(int) - Method in interface edu.stanford.nlp.linalg.Array
Returns true if the array contains index key
containsKey(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Returns true if contains the given key.
containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
 
containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter
 
containsKey(List) - 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(Class<KEY>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
{@inheritDoc
containsKey(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if contains the given key.
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
containsNaN() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
 
Convert - Class in edu.stanford.nlp.maxent
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
Convert() - Constructor for class edu.stanford.nlp.maxent.Convert
 
CoolingSchedule - Class in edu.stanford.nlp.sequences
 
CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
 
copy(float[], float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
copy(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
copy(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
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
 
copyDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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 CoreMap's.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
Annotation for the word appear after this word
CoreAnnotations.AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
CoreAnnotations.AfterSGMLAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AfterSGMLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterSGMLAnnotation
 
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
Annotation for the word appearing before this word
CoreAnnotations.BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
CoreAnnotations.BeginPositionAnnotation - Class in edu.stanford.nlp.ling
The character offset of first character of token in source.
CoreAnnotations.BeginPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginPositionAnnotation
 
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
CoreAnnotations.CharacterOffsetEnd - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CharacterOffsetEnd() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEnd
 
CoreAnnotations.CharacterOffsetStart - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CharacterOffsetStart() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetStart
 
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
for Chinese: character level information, segmentation
CoreAnnotations.ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
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.ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
CoreAnnotations.CopyAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.trees
CoreAnnotations.CopyAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
CoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.ling
the standard key for the coref label.
CoreAnnotations.CorefAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefAnnotation
 
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
CoreAnnotations.CurrentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CurrentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CurrentAnnotation
 
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
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.DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
CoreAnnotations.EndPositionAnnotation - Class in edu.stanford.nlp.ling
The character offset of last character of token in source.
CoreAnnotations.EndPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndPositionAnnotation
 
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
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.HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
This is generally an individual word or feature index - it is local, and may not be uniquely identifying without other identifiers such as sentence and doc.
CoreAnnotations.IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
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.LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
Lemma for the word this label represents
CoreAnnotations.LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
CoreAnnotations.NERAnnotation - Class in edu.stanford.nlp.ling
the standard key for the NER label.
CoreAnnotations.NERAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERAnnotation
 
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.NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
CoreAnnotations.NERTagAnnotation - Class in edu.stanford.nlp.ling
POS tag for the NER (Note: not sure why this differs from "tag" annotation
CoreAnnotations.NERTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERTagAnnotation
 
CoreAnnotations.NormalizedNERAnnotation - Class in edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NormalizedNERAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNERAnnotation
 
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
CoreAnnotations.OriginalAnswerAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
 
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
CoreAnnotations.ParaPosAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ParaPosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPosAnnotation
 
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
 
CoreAnnotations.PositionAnnotation - 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.PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
 
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
 
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
 
CoreAnnotations.PrevSGMLAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PrevSGMLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevSGMLAnnotation
 
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
CoreAnnotations.ProjectedCategoryAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing a projected category in the map, as a String.
CoreAnnotations.ProjectedCategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic role label
CoreAnnotations.RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
 
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
 
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
 
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
 
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
 
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
CoreAnnotations.SentencePosAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentencePosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePosAnnotation
 
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.ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
 
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
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.SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
Used in parser.discrim
CoreAnnotations.StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
Morphological stem of the word this label represents
CoreAnnotations.StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
 
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
 
CoreAnnotations.TagAnnotation - Class in edu.stanford.nlp.ling
Penn POS tag in String form
CoreAnnotations.TagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagAnnotation
 
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
 
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UBlockAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UnaryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UnknownAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
 
CoreAnnotations.ValueLabelAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ValueLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueLabelAnnotation
 
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.VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WebAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
CoreAnnotations.WordAnnotation - Class in edu.stanford.nlp.ling
String value of the word.
CoreAnnotations.WordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordAnnotation
 
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
CoreAnnotations.WordPosAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordPosAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPosAnnotation
 
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.YearAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
coreKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
CoreLabel - Class in edu.stanford.nlp.ling
A class that bridges the gap between old-style JavaNLP objects and the new core object infrastructure.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
Default constructor, calls super()
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.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend This allows you to read in arbitrary values from a file as features, for example.
CoreLabelTokenFactory - Class in edu.stanford.nlp.process
Constructs CoreLabels as Strings with a corresponding BEGIN and END position.
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.
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
Counter<E> - Interface in edu.stanford.nlp.stats
Basic Object to double map.
Counters - Class in edu.stanford.nlp.stats
Static methods for operating on Counters.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
covariance(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
crcdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
create() - Method in interface edu.stanford.nlp.util.Factory
Creates and returns a new instance of the given type.
CRFClassifier - Class in edu.stanford.nlp.ie.crf
Does Sequence Classification using a Conditional Random Field model.
CRFClassifier() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
 
CRFClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
 
CRFClassifier.TestSequenceModel - Class in edu.stanford.nlp.ie.crf
 
CRFClassifier.TestSequenceModel(CRFCliqueTree) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
CRFCliqueTree - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing inference along it.
CRFDatum - Class in edu.stanford.nlp.ie.crf
 
CRFDatum(List, Object) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
 
CRFDatum(List) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
Constructs a new BasicDatum with the given features and no labels.
CRFLabel - Class in edu.stanford.nlp.ie.crf
 
CRFLabel(int[]) - Constructor for class edu.stanford.nlp.ie.crf.CRFLabel
 
CRFLogConditionalObjectiveFloatFunction - Class in edu.stanford.nlp.ie.crf
 
CRFLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
 
CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
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.
curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
current() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the String which is the unmangled word.
current() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String which is the unmangled word.
cutDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
CyclicCoreLabel - Class in edu.stanford.nlp.ling
Version of CoreLabel that allows for cycles in values/keys.
CyclicCoreLabel() - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Default constructor, calls super()
CyclicCoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CyclicCoreLabel
Copy constructor from any CoreMap.
cyclicEquals(Object) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Equals method that is well defined even if there are cycles in keys/values.
cyclicHashCode() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Hashcode function that works on object address equality.
cyclicToString() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
To string method that works regardless of whether cycles exist

D

d - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
dataDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
Data dimension must return the size of the data used by the function.
dateCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
DateTemplate - Class in edu.stanford.nlp.ie.pascal
A partial PascalTemplate.
DateTemplate(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.pascal.DateTemplate
 
Datum - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap
Changes the position of an element o in the heap based on a change in the ordering of o.
decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap
Raises the priority of an object in the heap.
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
Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Subtracts 1.0 from the count for the given key.
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
 
decrementCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use your own loop
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use your own loop
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
Create a deep copy of the tree.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a deep copy of the tree.
deepCopy(MapFactory) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deeperCopy() - Method in class edu.stanford.nlp.trees.Tree
Same as deepCopy but makes a copy of the labels as well.
deeperCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Same as deepCopy but makes a copy of the labels as well.
deeperCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
Same as deepCopy but will copy the labels over as well.
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier
 
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.util.FileLines
 
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.Counter
Sets the default return value.
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter
Returns the default return value.
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.IntCounter
 
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
 
DefaultTeXHyphenData - Class in edu.stanford.nlp.ie.pascal
Default TeX hyphenation data, as borrowed from the TeX distribution.
DefaultTeXHyphenData() - Constructor for class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
 
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DelimitRegExIterator - Class in edu.stanford.nlp.objectbank
An Iterator that reads the contents of a buffer, delimited by the specified delimiter, and then be subsequently processed by an Function to produce Objects.
DelimitRegExIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator(Reader, String, Function) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator.DelimitRegExIteratorFactory - Class in edu.stanford.nlp.objectbank
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, boolean) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, Function) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
DelimitRegExIterator.DelimitRegExIteratorFactory(String, Function, boolean) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
dependencies() - Method in class edu.stanford.nlp.trees.Tree
Return a set of Word-Word dependencies, represented as Dependency objects, for the Tree.
dependencies(Filter) - Method in class edu.stanford.nlp.trees.Tree
Return a set of Word-Word dependencies, represented as Dependency objects, for the Tree.
dependencies(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Return a set of Word-Word dependencies, represented as Dependency objects for the Tree.
dependencies(Filter<Dependency>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Return a set of Word-Word dependencies, represented as Dependency objects, for the Tree.
Dependency - Interface in edu.stanford.nlp.trees
An individual dependency between a governor and a dependent.
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.UnnamedDependency
 
dependent() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the dependent (argument/modifier) of the dependency relation.
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
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.
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
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.
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
 
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.
devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DFSA<T,S> - Class in edu.stanford.nlp.fsm
DFSA: A class for representing a deterministic finite state automaton without epsilon transitions.
DFSA(DFSAState<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(DFSAState<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
dfsa - Variable in class edu.stanford.nlp.fsm.DFSAState
 
dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
 
DFSAState<T,S> - Class in edu.stanford.nlp.fsm
DFSAState

Class for representing the state of a deterministic finite state automaton without epsilon transitions.

DFSAState(S, DFSA<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSAState
 
DFSAState(S, DFSA<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSAState
 
DFSATransition<T,S> - Class in edu.stanford.nlp.fsm
(D)FSA Transition

Class for representing a transition in a weighted finite state transducer.

DFSATransition(Object, DFSAState<T, S>, DFSAState<T, S>, T, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
 
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
 
dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the difference of sets s1 and s2.
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.
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DISPLAY_SCORES - Static variable in class edu.stanford.nlp.trees.Tree
 
displayError(String, String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
distance(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns Euclidean distance from this to other
distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
divide(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns componentwise divide: this/dividend
divide(double) - Method in interface edu.stanford.nlp.linalg.Array
Scalar divide
divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
divideBy(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.scaleInPlace(Counter, double)
divideBy(ClassicCounter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.divideInPlace(Counter, Counter)
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.
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doc - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
 
Document<T> - Interface in edu.stanford.nlp.ling
Represents a text document as a list of Words with a title.
DocumentReader - Class in edu.stanford.nlp.ling
Basic mechanism for reading in Documents from various input sources.
DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader without an initial input source.
DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
DocumentReader(Reader, TokenizerFactory, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader that will read text from the given Reader and tokenize it into words using the given Tokenizer.
documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DocumentReaderAndWriter - Interface in edu.stanford.nlp.sequences
This interface is used for reading data and writing output into and out of SequenceClassifiers.
documentsToDataAndLabels(ObjectBank<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert an ObjectBank to arrays of data features and labels.
documentToDataAndLabels(List<? extends CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert a document List into arrays storing the data features and labels.
doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doing(String) - Method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
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
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
 
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns true if this dominates the Tree passed in as an argument.
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 startDoing 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".
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dot(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns dot product of this with other
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
 
dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
 
dumpIntArray(int[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 

E

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.fsm - package edu.stanford.nlp.fsm
 
edu.stanford.nlp.ie - package edu.stanford.nlp.ie
This package implements various subpackages for information extraction.
edu.stanford.nlp.ie.crf - package edu.stanford.nlp.ie.crf
A package for doing inference with conditional random fields.
edu.stanford.nlp.ie.pascal - package edu.stanford.nlp.ie.pascal
 
edu.stanford.nlp.io - package edu.stanford.nlp.io
 
edu.stanford.nlp.linalg - package edu.stanford.nlp.linalg
 
edu.stanford.nlp.ling - package edu.stanford.nlp.ling
 
edu.stanford.nlp.math - package edu.stanford.nlp.math
 
edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent
 
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
 
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
 
edu.stanford.nlp.process - package edu.stanford.nlp.process
 
edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences
 
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
 
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
 
edu.stanford.nlp.util - package edu.stanford.nlp.util
 
elements - Variable in class edu.stanford.nlp.util.Beam
 
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
EmpiricalNERPrior - Class in edu.stanford.nlp.ie
 
EmpiricalNERPrior(String, Index, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPrior
 
EMPTY - Static variable in class edu.stanford.nlp.ling.Word
Word representation of an empty.
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
 
EMPTYSTRING - Static variable in class edu.stanford.nlp.ling.Word
String representation of an empty.
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The encoding for file input.
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.trees.Constituent
access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access end node.
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.
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the ending character offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
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).
EntityCachingAbstractSequencePrior - Class in edu.stanford.nlp.ie
This class keeps track of all labeled entities and updates the its list whenever the label at a point gets changed.
EntityCachingAbstractSequencePrior(String, Index<String>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the entropy of the given counter (in bits).
entrySet() - Method in interface edu.stanford.nlp.linalg.Array
Returns a set view of the Entries contained in this array.
entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a view of the doubles in this map.
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.util.ArrayMap
 
EntryValueComparator - Class in edu.stanford.nlp.util
Comparator designed for the values of Map entries.
EntryValueComparator() - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator using ascending (normal) order that works on Map.Entry objects.
EntryValueComparator(boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator that will sort in the given order and works on Map.Entry objects.
EntryValueComparator(Map) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EntryValueComparator that will sort keys for the given Map in ascending (normal) order.
EntryValueComparator(Map, boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EmptyValueComparator to sort keys or entries of the given map in the given order.
EntryValueComparator(Map, boolean, boolean) - Constructor for class edu.stanford.nlp.util.EntryValueComparator
Constructs a new EmptyValueComparator to sort keys or entries of the given map in the given order.
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.fsm.DFSAState
 
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
equals(Object) - Method in interface edu.stanford.nlp.linalg.Array
Returns true if o==this
equals(Object) - Method in class edu.stanford.nlp.ling.CoreLabel
 
equals(Object) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Two CoreMaps are equal iff all keys and values are equal.
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.stats.ClassicCounter
 
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(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.trees.Constituent
Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.trees.Tree
Implements equality for Tree's.
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(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.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.IntTuple
 
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.ScoredComparator
 
equals(Object) - Method in class edu.stanford.nlp.util.Triple
 
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
 
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
 
escapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which all of the special characters of XML have been escaped.
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.
estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences
A class capable of computing the best sequence given a SequenceModel.
ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
 
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one tailed exact binomial test probability.
exit() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
extFiniteDiffDerivative - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
extractDatumSequence(int[][][], int, int, List) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Creates a new CRFDatum from the preprocessed allData format, given the document number, position number, and a List of Object labels.
extractEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
extracts the entity starting at the given position and adds it to the entity list.
extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key, removes it from the heap, and returns it.
extractMin() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum object, then removes that object from the heap.

F

FactoredSequenceListener - Class in edu.stanford.nlp.sequences
 
FactoredSequenceListener(SequenceListener, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
 
FactoredSequenceModel - Class in edu.stanford.nlp.sequences
 
FactoredSequenceModel(SequenceModel, SequenceModel) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
 
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.
FactorTable - Class in edu.stanford.nlp.ie.crf
Stores a factor table as a one dimensional array of doubles.
FactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
 
factory() - Static method in class edu.stanford.nlp.ling.CoreLabel
factory() - Static method in class edu.stanford.nlp.ling.CyclicCoreLabel
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
 
factory(boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(boolean, LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(boolean, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
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.LabeledScoredTreeLeaf
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
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.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.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.UnnamedDependency
 
Factory<T> - Interface in edu.stanford.nlp.util
A generified factory class which creates instances of a particular type.
fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featThreshFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureCountThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureDiffThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactory - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
FeatureFactory - Class in edu.stanford.nlp.sequences
This is the abstract class that all feature factories must subclass.
FeatureFactory() - Constructor for class edu.stanford.nlp.sequences.FeatureFactory
 
featureFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featuresC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCnC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp2C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp3C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp4C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp5C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCnC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3Cp4C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureWeightThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Featurizable - Interface in edu.stanford.nlp.ling
Interface for Objects that can be described by their features.
femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
fevals - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
fields - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
FileLines - Class in edu.stanford.nlp.util
This class takes a filename and allows you to iterate through it line by line.
FileLines(String) - Constructor for class edu.stanford.nlp.util.FileLines
Constructs a new FileLines object for reading lines from the given filename; checks that the file exists upon creation, but does not read until an iterator is created.
FileLines(String, String) - Constructor for class edu.stanford.nlp.util.FileLines
Constructs a new FileLines object for reading lines from the given filename which is in the given encoding; if encoding is not recognized, uses the default encoding for your platform
FileLines(String, String, boolean) - Constructor for class edu.stanford.nlp.util.FileLines
Constructs a new FileLines object for reading lines from the given filename which is in the given encoding; if encoding is not recognized, uses a default encoding.
FileLines(String, String, boolean, Function<String, String>) - Constructor for class edu.stanford.nlp.util.FileLines
Constructs a new FileLines object for reading lines from the given filename which is in the given encoding; if encoding is not recognized, uses a default encoding.
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.
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
 
Filter<T> - Interface in edu.stanford.nlp.util
Filter is an interface for predicate objects which respond to the accept method.
filter(E[], Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Applies the given filter to each of the given elems, and returns the list of elems that were accepted.
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
Filters contains some simple implementations of the Filter interface.
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found inside this String.
findBestUsingAnnealing(SequenceModel, CoolingSchedule) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
findBestUsingAnnealing(SequenceModel, CoolingSchedule, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
findBestUsingSampling(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
findBreakPoints(char[]) - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
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.
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
 
flags - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
flags - Variable in class edu.stanford.nlp.sequences.FeatureFactory
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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
 
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
FloatFactorTable - Class in edu.stanford.nlp.ie.crf
Stores a factor table as a one dimensional array of floats.
FloatFactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FloatFactorTable
 
FloatFunction - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
free() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
fromCoreMap(ArrayCoreMap) - Static method in class edu.stanford.nlp.ling.CoreLabel
Wraps the given CoreMap as a CoreLabel.
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.
fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
converts from format printed by toString method back into a Counter.
Function - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
Function<T1,T2> - Interface in edu.stanford.nlp.util
An interface for classes that act as a function transforming one object to another.

G

gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
gain - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gainSchedule(int, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
GeneralizedCounter - 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
genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
get(Set) - Method in class edu.stanford.nlp.ie.pascal.Prior
Map
get(int) - Method in interface edu.stanford.nlp.linalg.Array
Gets double value of element at index i
get(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Returns the value associated with the given key or null if none is provided.
get(Class<KEY>) - 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(int) - Method in class edu.stanford.nlp.util.Index
Gets the object whose index is the integer argument.
get(int) - Method in interface edu.stanford.nlp.util.IndexInterface
Gets the object whose index is the integer argument.
get(int) - Method in class edu.stanford.nlp.util.IntTuple
 
get(int) - Method in class edu.stanford.nlp.util.PaddedList
 
get(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the value associated with the given key or null if none is provided.
getAlignments() - Method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
getAlignmentsList() - Method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
getAnswers(List<CoreLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getAnswersInlineXML(List<CoreLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getAnswersXML(List<CoreLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
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.
getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Wraps the given Reader in a BufferedReader or returns it directly if it is already a BufferedReader.
getCalibratedCliqueTree(double[][], int[][][], Index[], int, Index, String) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getCalibratedCliqueTree(float[][], int[][][], Index[], int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getChild(int) - Method in class edu.stanford.nlp.trees.Tree
Return the child at some daughter index.
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
Returns a List of children for the current node.
getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Loads a CRF classifier from a file, and returns it.
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getCliqueFeatures(PaddedList<? extends CoreLabel>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<? extends CoreLabel>, int, Clique) - Method in class edu.stanford.nlp.sequences.FeatureFactory
This method returns a Collection of the features calculated for the word at the specified position in info (the list of words) for the specified Clique.
getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliqueTrees(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Want to make arbitrary probability queries? Then this is the method for you.
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Computes the distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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
 
getCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns a CoreAnnotation class key for the given old-style FeatureLabel key if one exists; null otherwise.
getCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(E) - Method in interface edu.stanford.nlp.stats.Counter
Returns the count for this key as a double.
getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.getCounts(java.util.List)({o}); works only for depth 1 GeneralizedCounters
getCount(Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(Object, Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
getCount(E) - 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
 
getCountAsString(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Double.toString
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCounts(List) - 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.
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to get the default supplied classifier.
getDiag(String) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getEncoding() - Static method in class edu.stanford.nlp.maxent.Convert
 
getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getFactory(String) - 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, then returns the result.
getFactory(String, boolean) - 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, then returns the result.
getFactory(String, Function) - 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(String, Function, boolean) - 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(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
Returns a factory that vends BeginEndIterators that reads the contents of the given Reader, extracts text between the specified Strings, then returns the result.
getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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
 
getFieldIndex(String) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the object 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.
getFloatFactorTable(float[][], int[][], Index[], int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 
getHasWord(int) - Method in class edu.stanford.nlp.ling.Sentence
Return the Word at the given index.
getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getIntCount(E) - 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.
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(ArrayList) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Same as getTokenizer().
getIterator(Reader) - Method in class edu.stanford.nlp.util.FileLines
 
getJarClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to load a classifier stored as a resource inside a jar file.
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getKnownLowerCaseWords() - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getLeaves() - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLeaves(List<Tree>) - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getLineIteratorObjectBank(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIteratorObjectBank(Collection, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIteratorObjectBank(Collection, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIteratorObjectBank(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIteratorObjectBank(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor
Retruns whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getMinimizer(int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
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.StochasticMinimizer
 
getNColors(int) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
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.
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.ClassicCounter
Deprecated. Use a Distribution or divide getCount by totalCount
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.
getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
get the number of classes in the sequence model.
getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getOutput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getPad() - Method in class edu.stanford.nlp.util.PaddedList
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
getPossibleValues(int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
getPossibleValues(int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
0...leftWindow-1 etc are null, leftWindow...length+leftWindow-1 are words, length+leftWindow...length+leftWindow+rightWindow-1 are null;
getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Get the priority of a key -- if the key is not in the queue, Double.NEGATIVE_INFINITY is returned.
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.
getRandomSequence(SequenceModel) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
getReader() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the reader for the text input source of this DocumentReader.
getReader(String) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given text.
getReader(File) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given file.
getReader(URL) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given URL.
getReader(InputStream) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given InputStream.
getReader(Object) - Static method in class edu.stanford.nlp.ling.DocumentReader
Intelligently returns a Reader for a variety of input sources.
getRho(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
getS(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
getSampler(List<? extends CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getSequenceModel(List<? extends CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getSequenceModel(List<? extends CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a short class name for an object.
getSmallerLabel(int) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getSource() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getSource() - Method in class edu.stanford.nlp.util.IntPair
 
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
 
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
This method included for backwards compatibility with AbstractMapLabel.
getTarget() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getTarget() - Method in class edu.stanford.nlp.util.IntPair
 
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
 
getTemperature(int) - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.objectbank.TokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Gets a tokenizer from a reader.
getTokenizerFactory() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the tokenizer used to chop up text into words for the documents.
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.AfterSGMLAnnotation
 
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.ArgDescendentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
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.BeginPositionAnnotation
 
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.CategoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEnd
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetStart
 
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.CoarseTagAnnotation
 
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.ContextsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CorefAnnotation
 
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.CurrentAnnotation
 
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.DocIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EndPositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
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.FeaturesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
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.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.IsURLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
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.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.LMiddleAnnotation
 
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.MonthAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNERAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParaPosAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
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.PrevChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PrevSGMLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
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.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.SentenceIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencePosAnnotation
 
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.SRLIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
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.TagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
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.UnknownAnnotation
 
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.ValueLabelAnnotation
 
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.WordAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPosAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
getURL() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
getValue(String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
getValueType(Class<? extends CoreAnnotation>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns the runtime value type associated with the given key.
getVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getVariance(double[], int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getViterbiSearchGraph(List<CoreLabel>, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getWeights(String) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getY(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
governor() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the governor (regent/head) of the dependency relation.
governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
grad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradList - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

H

has(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Returns true if the map contains the given key.
has(Class<KEY>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns true if the map contains the given key.
has(Class<KEY>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if the map contains the given key.
HasCategory - Interface in edu.stanford.nlp.ling
Something that implements the HasCategory interface knows about categories.
HasContext - Interface in edu.stanford.nlp.ling
 
HasFloatInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
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<CoreAnnotation<?>>, 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<CoreAnnotation<?>>>) - 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.
HashableCoreMap.HashableCoreMapException(String) - Constructor for exception edu.stanford.nlp.util.HashableCoreMap.HashableCoreMapException
 
hashCode() - Method in class edu.stanford.nlp.fsm.DFSAState
 
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
hashCode() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
hashCode() - Method in class edu.stanford.nlp.ling.CoreLabel
 
hashCode() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Returns a composite hashcode over all the keys and values currently stored in the map.
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.sequences.Clique
 
hashCode() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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.trees.Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.trees.Tree
Implements a hashCode for Tree's.
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.HashableCoreMap
Provides a hash code based on the immutable keys and values provided to the constructor.
hashCode() - Method in class edu.stanford.nlp.util.IntPair
 
hashCode() - Method in class edu.stanford.nlp.util.IntQuadruple
 
hashCode() - Method in class edu.stanford.nlp.util.IntTriple
 
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
 
hashCode() - Method in class edu.stanford.nlp.util.IntUni
 
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.ScoredComparator
Return the hashCode: there are only two distinct comparators by equals().
hashCode() - Method in class edu.stanford.nlp.util.Triple
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
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.
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.objectbank.XMLBeginEndIterator
 
hasNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns true if this Tokenizer has more elements.
hasNext() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns true if and only 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.FixedPrioritiesPriorityQueue
Returns true if the priority queue is non-empty
HasOffset - Interface in edu.stanford.nlp.ling
Something that implements the HasOffset interface bears a offset reference to the original text
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.
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
 
HeadFinder - Interface in edu.stanford.nlp.trees
An interface for finding the "head" daughter of a phrase structure tree.
headPreTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the preterminal tree that is the head of the tree.
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.
Heap<E> - Interface in edu.stanford.nlp.util
Heap: It's the heap interface.
HearstSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
howLong() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
Return the time in seconds since this class was created.
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
hybridCutoffIteration - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a hypergeometric distribution.
hyphenData - Static variable in class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
 

I

IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
IdentityFunction<X> - Class in edu.stanford.nlp.objectbank
 
IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
 
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
in - Variable in class edu.stanford.nlp.ling.DocumentReader
Reader used to read in document text.
incrementAll(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Adds the same amount to every count, that is to every key currently stored in the counter (with no lookups).
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
Adds the given count to the current count for the given key.
incrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Adds 1.0 to the count for the given key.
incrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Increments the count for this 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, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
equivalent to incrementCount(l,o,1.0).
incrementCount(List, Object, 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) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount(l, 1.0).
incrementCount(List, 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
 
incrementCount1D(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount1D(o, 1.0).
incrementCount1D(Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.incrementCount(java.util.List, java.lang.Object)({o}, count); only works for a depth 1 GeneralizedCounter.
incrementCount2D(Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount2D(first,second,1.0).
incrementCount2D(Object, Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second }, count ).
incrementCount3D(Object, Object, Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount3D(first,second,1.0).
incrementCount3D(Object, Object, Object, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second, third }, count ).
incrementCounts(Collection<E>, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use your own loop
incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use your own loop
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
 
incrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
incrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
Add the argument to the value of this integer.
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.
index() - Method in class edu.stanford.nlp.ling.CoreLabel
index() - Method in interface edu.stanford.nlp.ling.HasIndex
 
Index<E> - Class in edu.stanford.nlp.util
An Index is a collection that maps between an Object vocabulary and a contiguous non-negative integer index series beginning (inclusively) at 0.
Index() - Constructor for class edu.stanford.nlp.util.Index
Creates a new Index.
Index(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.Index
Creates a new Index and adds every member of c to it.
IndexInterface<E> - Interface in edu.stanford.nlp.util
Minimalist interface for implementations of Index.
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.
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
indexOf(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.
indexOf(E) - Method in class 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 class edu.stanford.nlp.util.Index
Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
indexOf(E) - Method in interface edu.stanford.nlp.util.IndexInterface
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.IndexInterface
Takes an Object and returns the integer index of the Object, perhaps adding it to the index first.
indexOfRelativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
For a particular relative index, returns which element in the Clique it is.
indices(Collection<E>) - Method in class edu.stanford.nlp.util.Index
Returns the index of each elem in a List.
inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
infoFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
InfoTemplate - Class in edu.stanford.nlp.ie.pascal
A partial PascalTemplate.
InfoTemplate(String, String, String, String, String, String, CliqueTemplates) - Constructor for class edu.stanford.nlp.ie.pascal.InfoTemplate
 
init(Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
init(String, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given text contents and title.
init(String, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,title,true)
init(String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,keepOriginalText)
init(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,true)
init() - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init((String)null,null,true)
init(Reader, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given Reader.
init(Reader, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,title,true)
init(Reader, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,keepOriginalText)
init(Reader) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,true)
init(File, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given File.
init(File, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,title,true)
init(File, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),keepOriginalText)
init(File) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),true)
init(URL, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Constructs a new BasicDocument by reading in the text from the given URL.
init(URL, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,title,true)
init(URL, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textFile.toExternalForm(),keepOriginalText)
init(URL) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textURL.toExternalForm(),true)
init(List, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given list of words and title.
init(List) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(words,null)
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
Will be called immediately after construction.
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.FeatureFactory
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
initGazette() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
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.HasFloatInitial
Returns the intitial point in the domain (but not necessarily a feasible one).
initial() - Method in interface edu.stanford.nlp.optimization.HasInitial
Returns the intitial point in the domain (but not necessarily a feasible one).
initialGain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initialState() - Method in class edu.stanford.nlp.fsm.DFSA
 
initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
input() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
inputToTransition - Variable in class edu.stanford.nlp.fsm.DFSAState
 
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
insert dtr after position existing daughters in this.
intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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) - 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.
interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
intern - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
intern2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
Returns an InternedPair where the Strings have been interned.
interner - Static variable in class edu.stanford.nlp.sequences.Clique
 
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<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the intersection of sets s1 and s2.
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
 
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
 
IntTuple() - Constructor for class edu.stanford.nlp.util.IntTuple
 
IntUni - Class in edu.stanford.nlp.util
Just a single integer
IntUni() - Constructor for class edu.stanford.nlp.util.IntUni
 
IntUni(int) - Constructor for class edu.stanford.nlp.util.IntUni
 
intValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
intValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
INVALID_ENTRY - Static variable in interface edu.stanford.nlp.util.IndexInterface
 
inverseAcronymMap - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
invertible - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
iobTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IOUtils - Class in edu.stanford.nlp.io
Helper Class for storing serialized objects to disk.
isAccepting() - Method in class edu.stanford.nlp.fsm.DFSAState
 
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
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
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if a string begins with an uppercase.
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
isContinuable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
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.
isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
isEmpty() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
isEmpty() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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 class edu.stanford.nlp.util.ArrayHeap
Checks if the heap is empty.
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.FileLines
 
isEmpty() - Method in interface edu.stanford.nlp.util.Heap
Returns true iff the heap is empty.
isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isEol(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Say whether the String is the end-of-line token for this tokenizer.
isLeaf() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Indicates that this is a leaf.
isLeaf() - Method in class edu.stanford.nlp.trees.Tree
Says whether a node is a leaf.
isLocked() - Method in class edu.stanford.nlp.util.Index
Queries the Index for whether it's locked or not.
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.
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(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
isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree
Says whether the current node has only one child.
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.
iterator() - Method in interface edu.stanford.nlp.linalg.Array
Returns an iterator over the entries in the matrix
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.objectbank.ResettableReaderIteratorFactory
Returns an Iterator over the input sources in the underlying Collection.
iterator() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
iterator() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
iterator() - Method in class edu.stanford.nlp.stats.IntCounter
 
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.ArrayHeap
 
iterator() - Method in class edu.stanford.nlp.util.Beam
 
iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
iterator() - Method in class edu.stanford.nlp.util.FileLines
 
iterator() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
iterator() - Method in interface edu.stanford.nlp.util.Heap
Returns an iterator over its elements, in order.
iterator() - Method in class edu.stanford.nlp.util.Index
Returns an iterator over the elements of the collection.
IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
A IteratorFromReaderFactory is used to convert a java.io.Reader into an Iterator over the Objects represented by the text in the java.io.Reader.
its - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 

J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the Jaccard Coefficient of the two counters.
JAR_CLASSIFIER_PATH - Static variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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.
join(Iterable, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Collection with the given glue.
join(List, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the List 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(List) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elems with a space.
join(Object[]) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elems with a space.
joiningTwoEntities(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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 no other node which also dominates both t1 and t2 dominates j.
justify - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

K

k - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
kBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
KBestSequenceFinder - Class in edu.stanford.nlp.sequences
 
KBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.KBestSequenceFinder
 
kBestSequences(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
 
keepAllWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep all the whitespaces words in testFile when printing out answers.
keepEnglishWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep the whitespaces between English words in testFile when printing out answers.
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.
keepInMemory(boolean) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
keepOBInMemory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
keepOriginalText - Variable in class edu.stanford.nlp.ling.DocumentReader
Whether to keep source text in document along with tokenized words.
keysAbove(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.keysAbove(Counter, double)
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(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.keysAt(Counter, double)
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(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.keysBelow(Counter, double)
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.CoreLabel
Collection of keys currently held in this map.
keySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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.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 interface edu.stanford.nlp.util.TypesafeMap
Collection of keys currently held in this map.
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.
known(String) - Static method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
knownCliques - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
knownLCWords - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
knownWords - Static variable in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 

L

l - Variable in class edu.stanford.nlp.util.PaddedList
 
L2Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
L2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
L2 normalize a counter.
label() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns the label for this Datum, or null if none have been set.
label() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the first label for this Document, 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.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.LabeledScoredTreeLeaf
Returns the label associated with the current node.
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.
Labeled - 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.
LabeledScoredTreeLeaf - Class in edu.stanford.nlp.trees
A LabeledScoredTreeLeaf represents the leaf of a tree in a parse tree with labels and scores.
LabeledScoredTreeLeaf() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create an empty leaf parse tree with an empty word.
LabeledScoredTreeLeaf(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create a leaf parse tree with given word.
LabeledScoredTreeLeaf(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Create a leaf parse tree with given word and score.
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, List<Tree>) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create parse tree with given root and array of daughter trees.
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.CoreLabel
Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
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.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.
labels() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
labels - Variable in class edu.stanford.nlp.ling.BasicDocument
Label(s) for this document.
labels() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the complete List of labels for this Document.
labels() - Method in interface edu.stanford.nlp.ling.Labeled
Returns the complete list of labels for this Object, which may be empty.
labels() - Method in class edu.stanford.nlp.trees.Constituent
Access labels -- actually always a singleton here.
labels() - Method in interface edu.stanford.nlp.trees.Labeled
Gives back all labels for this thing.
labels() - Method in class edu.stanford.nlp.trees.Tree
Get the set of all node and leaf Labels, null or otherwise, contained in the tree.
lam - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
LatticeWriter - Interface in edu.stanford.nlp.sequences
This interface is used for writing lattices out of SequenceClassifiers.
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.
leftMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
leftWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
leftWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the left a position is dependent on.
lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
 
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
 
length() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
length() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
length() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
length() - Method in class edu.stanford.nlp.ling.Sentence
A convenience method since we normally say sentences have a length.
length() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
 
length() - Method in class edu.stanford.nlp.util.IntTuple
 
LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
Constructs a token (of arbitrary type) from a String and its position in the underlying text.
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(File) - 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
 
LineIterator.LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
LineIterator.LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
An interface for things that operate on a List.
listToFile(List<double[]>, String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
load(BufferedReader) - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
Loads custom hyphenation rules.
load2DCounter(String, Class<T1>, Class<T2>) - Static method in class edu.stanford.nlp.stats.Counters
 
load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
 
loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadClassifier(InputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifier(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a classsifier from the specified input stream.
loadClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the file specified by loadPath.
loadClassifier(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifier(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the file specified by loadPath.
loadClassifier(InputStream, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Loads a classifier from the specified InputStream.
loadClassifier(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
Load a classifier from a file or the default.
loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadClassifierNoExceptions(BufferedInputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the given input stream.
loadClassifierNoExceptions(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadDefault() - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
Loads the default hyphenation rules in DefaultTeXHyphenator.
loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
This is used to load the default supplied classifier stored within the jar file.
loadFromFilename(String) - Static method in class edu.stanford.nlp.util.Index
 
loadFromReader(BufferedReader) - Static method in class edu.stanford.nlp.util.Index
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.
loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
loadJarClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
This function will load a classifier that is stored inside a jar file (if it is so stored).
loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadProcessedData(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadTextClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
localTree() - Method in class edu.stanford.nlp.trees.Tree
Returns a new Tree that represents the local Tree at a certain node.
localTrees() - Method in class edu.stanford.nlp.trees.Tree
Returns a set of one level Trees that ares the local trees of the tree.
locationCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
lock() - Method in class edu.stanford.nlp.util.Index
Locks the Index.
log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
If the current count for the object is c1, and you call logIncrementCount with a value of c2, then the new value will be log(e^c1 + e^c2).
logIncrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
log space increments the count for this key by the given value.
logIncrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logIncrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
logInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
logNormalize() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.logNormalize(Counter).
logNormalize(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
logProb(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProb(int, Object) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProb(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the log probability for the given labels (indexed using classIndex), where the last label corresponds to the label at the specified position.
logProb(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the log probability for the given labels, where the last label corresponds to the label at the specified position.
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProbs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
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(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() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.logSum(Counter).
logSum(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns ArrayMath.logSum of the values in this counter
longArrToByteArr(long[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
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.
longForm - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
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.
lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lowerNewgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lowestLevelCounterEntrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a set of entries, where each key is a read-only List of size one less than the depth of the GeneralizedCounter, and each value is a ClassicCounter.

M

main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
The main method.
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FactorTable
 
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
Run the GUI.
main(String[]) - Static method in class edu.stanford.nlp.ie.NERServer
Starts this server on the specified port.
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.Prior
 
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
main(String[]) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
 
main(String[]) - Static method in class edu.stanford.nlp.math.ArrayMath
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.math.SloppyMath
Tests the hypergeometric distribution code, or other functions provided in this module.
main(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.LineIterator
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SGDMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SMDMinimizer
 
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.Morphology
Run the morphological analyzer.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Reads files named as arguments and print their tokens one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.StripTagsProcessor
For internal debugging purposes only.
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.process.WordToSentenceProcessor
This will print out as sentences some text.
main(String[]) - Static method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
main(String[]) - Static method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
Count some stats on what occurs in a file.
main(String[]) - Static method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
 
main(String[]) - Static method in class edu.stanford.nlp.sequences.SequenceSampler
 
main(String[]) - Static method in class edu.stanford.nlp.stats.ClassicCounter
For internal debugging 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.TwoDimensionalCounter
 
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.util.ArrayUtils
For internal debugging purposes only
main(String[]) - Static method in class edu.stanford.nlp.util.Beam
 
main(String[]) - Static method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
main(String[]) - Static method in class edu.stanford.nlp.util.FileLines
 
main(String[]) - Static method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
main(String[]) - Static method in class edu.stanford.nlp.util.Index
 
main(String[]) - Static method in class edu.stanford.nlp.util.Sets
 
main(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Tests the string edit distance function.
main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils
Tests a few methods.
makeAsciiTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
makeDatum(List<CoreLabel>, int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
makeDatum(List<? extends CoreLabel>, int, FeatureFactory) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
makeIntFromByte2(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
makeIntFromByte4(byte[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
makeObjectBank(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(String[], boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(String, String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBank(BufferedReader, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Set up an ObjectBank that will allow one to iterate over a collection of documents obtained from the passed in Reader.
makeObjectBank(BufferedReader) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
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, 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
 
maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
map - Variable in class edu.stanford.nlp.ling.CoreLabel
The CoreMap backing this label.
map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
mapDependencies(Filter<Dependency>, HeadFinder) - 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.
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.
matches(Entity, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression matches this String.
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
Returns the minimum of three int values.
max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two float values.
max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two double values.
max(Counter<E>) - 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.
maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
 
maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxLeft() - Method in class edu.stanford.nlp.sequences.Clique
Convenience method for finding the most far left relative index.
maxLeft - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxNumClasses - Static variable in class edu.stanford.nlp.ie.crf.CRFLabel
 
maxRight() - Method in class edu.stanford.nlp.sequences.Clique
Convenience method for finding the most far right relative index.
maxRight - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxTime - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
mean(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the mean of all the counts (totalCount/size).
memory - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
mergeCliqueTemplates(DateTemplate, String, InfoTemplate) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Merges partial (clique) templates into a full one.
mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
meta - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
method - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key and returns it, without modifying the heap.
min() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum Object in this heap.
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, within functionTolerance.
minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
 
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(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.
monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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(String) - Constructor for class edu.stanford.nlp.process.Morphology
 
mu - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
multiply(Array) - Method in interface edu.stanford.nlp.linalg.Array
Returns componentwise multiply
multiply(double) - Method in interface edu.stanford.nlp.linalg.Array
Scalar multiply
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.
multiplyBy(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.scaleInPlace(Counter, double)
multiplyInEnd(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
multiplyInEnd(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
multiplyInFront(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
multiplyInFront(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
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>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies every count in target by the corresponding value in the term Counter.
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
 
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
 

N

naiveSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
name() - Method in interface edu.stanford.nlp.trees.Dependency
Names the type of dependency (subject, instrument, ...).
name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
nativeToAscii(String) - Static method in class edu.stanford.nlp.maxent.Convert
 
nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Computes n choose k in an efficient way.
ner() - Method in class edu.stanford.nlp.ling.CoreLabel
NERFeatureFactory - Class in edu.stanford.nlp.ie
Features for Named Entity Recognition.
NERFeatureFactory() - Constructor for class edu.stanford.nlp.ie.NERFeatureFactory
 
NERGUI - Class in edu.stanford.nlp.ie.crf
A GUI for Named Entity sequence classifiers.
NERGUI() - Constructor for class edu.stanford.nlp.ie.crf.NERGUI
 
NERServer - Class in edu.stanford.nlp.ie
A named-entity recognizer server for Stanford's NER.
NERServer(int, AbstractSequenceClassifier) - Constructor for class edu.stanford.nlp.ie.NERServer
Creates a new named entity recognizer server on the specified port.
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
 
newDependency(Label, Label) - Method in interface edu.stanford.nlp.trees.DependencyFactory
 
newDependency(Label, Label, Object) - Method in interface edu.stanford.nlp.trees.DependencyFactory
 
newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
newGrad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
newInstance(int) - Method in interface edu.stanford.nlp.linalg.Array
Returns an empty Array of the same dynamic type with given size
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 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.
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.
newPTBTokenizer(Reader) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that treats carriage returns as normal whitespace.
newPTBTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
newPTBTokenizerFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizerFactory that treats carriage returns as normal whitespace.
newPTBTokenizerFactory(boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token.
newPTBTokenizerFactory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
newPTBTokenizerFactory(boolean, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
newTreeNode(String, List) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
 
newTreeNode(Label, List) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Create a new non-leaf tree node with the given label
newTreeNode(String, List) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(Label, List) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(String, List) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree nonleaf node, where the label is formed from the String passed in.
newTreeNode(Label, List) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree nonleaf node, with the given label.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory
Create a new TreeReader using the provided Reader.
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.objectbank.XMLBeginEndIterator
 
next() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.process.Morphology
 
next() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.util.AbstractIterator
 
next() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
next() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns the element in the queue with highest priority, and pops it from the queue.
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
noadate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
noChange(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
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.
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
 
nodeString() - Method in class edu.stanford.nlp.trees.Tree
Returns the label of a tree node as a String.
noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
norm() - Method in interface edu.stanford.nlp.linalg.Array
Returns L2 norm of vector
norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 2-norm of vector
norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 2-norm of vector
norm_1(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 1-norm of vector
norm_1(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 1-norm of vector
norm_inf(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes inf-norm of vector
norm_inf(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes inf-norm of vector
normalizationTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalize() - Method in interface edu.stanford.nlp.linalg.Array
Returns vector with euclidian distance normalized to 1.
normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
normalize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalize() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters#normalize(Counter)
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.
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.TreeNormalizer
Normalizes a leaf contents (and maybe intern it).
normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalize a whole tree -- this method assumes that the argument that it is passed is the root of a complete Tree.
normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
notFilter(Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that does the opposite of given filter (NOT).
NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
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.
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
numChildren() - Method in class edu.stanford.nlp.trees.Tree
Says how many children a tree node has in its local tree.
numClasses() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
numClasses() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
numClasses - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numIterations() - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
numPasses - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
numRuns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numStartLayers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

O

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.
ObjectBankWrapper - Class in edu.stanford.nlp.sequences
This class is used to wrap the ObjectBank used by the sequence models and is where any sort of general processing, like the IOB mapping stuff and wordshape stuff, should go.
ObjectBankWrapper(SeqClassifierFlags, ObjectBank<List<CoreLabel>>, Set<String>) - Constructor for class edu.stanford.nlp.sequences.ObjectBankWrapper
 
objects(int[]) - Method in class 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.Index
Returns a complete List of indexed objects, in the order of their indices.
ocrFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ocrTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
oldKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
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.
openFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
openURL(String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
orFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts when either filter accepts (OR).
originalText - Variable in class edu.stanford.nlp.ling.BasicDocument
original text of this document (may be null).
originalText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the text originally used to construct this document, or null if there was no original text.
OTHER - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
otherOccurrences(Entity) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
finds other locations in the sequence where the sequence of words in this entity occurs.
outDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
output() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
outputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 

P

pad - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
pad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pad(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Return a String of length a minimum of totalChars characters by padding the input String str at the right end with spaces.
pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the toString value of the given Object.
PaddedList<E> - Class in edu.stanford.nlp.util
A PaddedList wraps another list, presenting an apparently infinite list by padding outside the real confines of the list with a default value.
PaddedList(List<E>) - Constructor for class edu.stanford.nlp.util.PaddedList
With this constructor, get() will return null for elements outside the real list.
PaddedList(List<E>, E) - Constructor for class edu.stanford.nlp.util.PaddedList
 
padLeft(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the given String to the left with the given character to ensure that it's at least totalChars long.
padLeft(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the given String to the left with spaces to ensure that it's at least totalChars long.
padLeft(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeft(int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeft(double, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeftOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim the toString value of the given Object.
Pair<T1,T2> - Class in edu.stanford.nlp.util
Pair is a Class for holding a pair of objects.
Pair() - Constructor for class edu.stanford.nlp.util.Pair
 
Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
 
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(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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
 
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.
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Tokenizes the given text to populate the list of words this Document represents.
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.
parseDocumentText(String) - Method in class edu.stanford.nlp.ling.DocumentReader
Creates a new Document for the given text.
parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
PascalTemplate - Class in edu.stanford.nlp.ie.pascal
Maps non-background Pascal fields to strings.
PascalTemplate() - Constructor for class edu.stanford.nlp.ie.pascal.PascalTemplate
 
PascalTemplate(PascalTemplate) - Constructor for class edu.stanford.nlp.ie.pascal.PascalTemplate
 
pasteDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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.
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.objectbank.XMLBeginEndIterator
 
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().
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(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennPrint() - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennString() - Method in class edu.stanford.nlp.trees.Tree
Calls pennPrint() and saves output to a String
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
A PennTreeReader is a TreeReader that reads in 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, Tokenizer) - 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) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
Read parse trees from a Reader.
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Finds the heads of the tree.
perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
 
PlainTextDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
 
PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
pointers - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
poisson(int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
possibleValues - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by 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.
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.
predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prependBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Prepend this String to the before String.
prependBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
Prepend this String to the before String.
prependingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
presentableText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a "pretty" version of the words in this Document suitable for display.
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.
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.
print() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
print() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
 
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
 
print() - Method in class edu.stanford.nlp.util.IntTuple
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
This method prints the output of the classifier to a PrintWriter.
printAnswers(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
Print the classifications for the document to the given Writer.
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
printAnswersInlineXML(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersInlineXML(List<CoreLabel>, PrintWriter) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersText(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersXML(List<CoreLabel>) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswersXML(List<CoreLabel>, PrintWriter) - Static method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAttFsmFormat(Writer) - Method in class edu.stanford.nlp.fsm.DFSA
 
printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.
printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
printErrorStuff(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
printErrorStuff(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
printErrorStuff - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFeaturesUpto - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFirstOrderProbs(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes the file, reads it in, and prints out the likelihood of each possible label at each point.
printFirstOrderProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFirstOrderProbsDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of CoreLabels and prints the likelihood of each possible label at each point.
printFirstOrderProbsDocuments(ObjectBank<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of documents and prints the likelihood of each possible label at each point.
printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printLattice(DFSA, List<CoreLabel>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.LatticeWriter
This method prints the output lattice (typically, Viterbi search graph) of the classifier to a PrintWriter.
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.
printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
 
printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
 
printMinMax - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printProbs(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Takes the file, reads it in, and prints out the likelihood of each possible label at each point.
printProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printProbsDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
printProbsDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of CoreLabels and prints the likelihood of each possible label at each point.
printProbsDocuments(ObjectBank<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Takes a List of documents and prints the likelihood of each possible label at each point.
printSamples(List, PrintStream) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
printState(BasicDocument) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.
printTrieAsRules(DFSA, Writer) - Static method in class edu.stanford.nlp.fsm.DFSA
 
printTrieDFSA(DFSA) - Static method in class edu.stanford.nlp.fsm.DFSA
 
printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
Prior - Class in edu.stanford.nlp.ie.pascal
 
Prior(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Prior
 
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.
priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prob(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int, Object) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns theprobability for the given labels (indexed using classIndex), where the last label corresponds to the label at the specified position.
prob(int, Object[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the probability for the given labels, where the last label corresponds to the label at the specified position.
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
probs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
probs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
process(List<IN>) - Method in interface edu.stanford.nlp.process.ListProcessor
Take a List (including a Sentence) of input, and return a List that has been processed in some way.
process(List) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Returns a new Document with the same meta-data as in, and the same words except tags are stripped.
process(List) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
Returns a List of Sentences where each element is built from a run of Words in the input Document.
processDocument(Document<IN>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
 
processDocument(Document<IN>) - Method in interface edu.stanford.nlp.process.Processor
Converts a Document to a different Document, by transforming or filtering the original Document.
processDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
processLists(List<List<IN>>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
Process a list of lists of tokens.
Processor<IN,OUT> - Interface in edu.stanford.nlp.process
Top-level interface for transforming Documents.
product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
prune(Filter<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(Filter<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.
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
Returns a presentable version of the given PTB-tokenized text.
ptb2Text(List) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
PTBTokenizer<T> - Class in edu.stanford.nlp.process
Tokenizer implementation that conforms to the Penn Treebank tokenization conventions.
PTBTokenizer(Reader, boolean, LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that optionally returns carriage returns as their own token, and has a custom LexedTokenFactory.
PTBTokenizer.PTBTokenizerFactory<T> - Class in edu.stanford.nlp.process
 
PTBTokenizer.PTBTokenizerFactory(boolean, LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
 

Q

QNMinimizer - Class in edu.stanford.nlp.optimization
An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(FloatFunction) - 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.eLineSearch - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eScaling - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eState - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.QNInfo - Class in edu.stanford.nlp.optimization
 
QNMinimizer.QNInfo(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.QNInfo() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.QNInfo(List<double[]>, List<double[]>) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNMinimizer.Record - Class in edu.stanford.nlp.optimization
The Record class is used to collect information about the function value over a series of iterations.
QNMinimizer.Record() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double, PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.Record(boolean, Function, double, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
QNMinimizer.SurpriseConvergence - Class in edu.stanford.nlp.optimization
 
QNMinimizer.SurpriseConvergence(String) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
 
QNPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
QNPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
quiet - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 

R

randGenerator - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDocument() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader and turns it into a Document.
readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readerAndWriter - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
readerFromStringName(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
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
 
readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.maxent.Convert
 
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader.
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.
readReaderFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readResolve() - Method in class edu.stanford.nlp.sequences.Clique
 
readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair
Read a string representation of a Pair from a DataStream.
readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
Reads all text of the XML tag and returns it as a String.
readText(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns everything that can be read from the given Reader as a String.
readTree() - Method in class edu.stanford.nlp.trees.PennTreeReader
Reads a single tree in standard Penn Treebank format, with or without an additional set of parens around it (an unnamed ROOT node).
readTree() - Method in interface edu.stanford.nlp.trees.TreeReader
Reads a single tree.
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.
recalculatePrevBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
RegExFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that filters based on a passed in Pattern.
RegExFileFilter(Pattern) - Constructor for class edu.stanford.nlp.io.RegExFileFilter
Sets up a RegExFileFilter which checks if the file name (not the entire path) matches the passed in Pattern.
reinit() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
This method should be called after there have been changes to the flags (SeqClassifierFlags) variable, such as after deserializing a classifier.
rejectFilter() - Static method in class edu.stanford.nlp.util.Filters
The rejectFilter accepts nothing.
RelationalModel - Interface in edu.stanford.nlp.ie.pascal
An interface for the relational models in phase 2 of the pascal system.
relativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
 
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.
remove(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Removes the given key from the map, returning the value removed.
remove(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
remove(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Removes an Object from the underlying Collection of input sources.
remove() - Method in class edu.stanford.nlp.process.AbstractTokenizer
This is an optional operation, by default not supported.
remove() - Method in interface edu.stanford.nlp.process.Tokenizer
Removes from the underlying collection the last element returned by the iterator.
remove(List<CoreLabel>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
remove(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes the given key from this Counter.
remove(E) - Method in interface edu.stanford.nlp.stats.Counter
Removes the value associated with the given key.
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() - Method in class edu.stanford.nlp.util.AbstractIterator
Throws an UnupportedOperationException.
remove(Class<KEY>) - 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(Object) - Method in class edu.stanford.nlp.util.Beam
 
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.FileLines
Unsupported Operation.
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.Index
Removes an object from the index, if it exists (otherwise nothing happens).
remove(Class<KEY>) - 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<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
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<?>) - Method in class edu.stanford.nlp.util.FileLines
Unsupported Operation.
removeAt(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeAt(Object[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeBackgroundSingletonFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeChild(int) - Method in class edu.stanford.nlp.trees.Tree
Destructively removes the child at some daughter index and returns it.
removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the object 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.
removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeZeroCounts() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.retainNonZeros(Counter)
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
 
removingBeginningOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
removingEndOfEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
report() - Method in class edu.stanford.nlp.util.Timing
Return elapsed time (without stopping timer).
report(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (without stopping timer).
report(String) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time to System.err (without stopping timer).
report(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (without stopping timer).
ResettableReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
Vends ReaderIterators which can alway be rewound.
ResettableReaderIteratorFactory(Collection) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory from the input sources contained in the Collection.
ResettableReaderIteratorFactory(Collection, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
 
ResettableReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Convenience constructor to construct a ResettableReaderIteratorFactory from a single input source.
ResettableReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
 
ResettableReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory with no initial input sources.
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.
restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
restrictTransitionsTimit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ResultStoringFloatMonitor - Class in edu.stanford.nlp.optimization
 
ResultStoringFloatMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
ResultStoringMonitor - Class in edu.stanford.nlp.optimization
 
ResultStoringMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringMonitor
 
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<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
retainAll(Collection<?>) - Method in class edu.stanford.nlp.util.FileLines
Unsupported Operation.
retainAll(Collection<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Removes all elems in the given Collection that aren't accepted by the given Filter.
retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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(int) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.retainTop(edu.stanford.nlp.stats.Counter, int)
retainTop(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries from c except for the top num
returnLastFoundSequence - Variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
returnPreviousValues - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Produces a new ConditionalCounter.
reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
RichSimilarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
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.
rightMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
rightWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
rightWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many positions to the right a position is dependent on.
round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
E.g.
run() - Method in class edu.stanford.nlp.ie.NERServer
Runs this named entity recognizer server.
RuntimeIOException - Exception in edu.stanford.nlp.io
An unchecked version of IOException.
RuntimeIOException() - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception.
RuntimeIOException(String) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with a message.
RuntimeIOException(Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with an embedded cause.
RuntimeIOException(String, Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with a message and an embedded cause.

S

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 largest value in a vector of doubles.
safeStdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the standard deviation of a vector of doubles.
sameInnerList(PaddedList<E>) - Method in class edu.stanford.nlp.util.PaddedList
Returns true if this PaddedList and another are wrapping the same list.
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.
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
 
samplePosition(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples a single position in the sequence.
samplePosition(SequenceModel, int[], int, double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples a single position in the sequence.
Sampler<T> - Interface in edu.stanford.nlp.stats
An interace for drawing samples from the label space of an object.
sampleSequenceBackward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the backward direction Destructively modifies the sequence in place.
sampleSequenceBackward(SequenceModel, int[], double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the backward direction Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the forward direction Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[], double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the forward direction Destructively modifies the sequence in place.
sampleSequenceRepeatedly(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
sampleSequenceRepeatedly(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
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.
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 from a DataStream.
save2DCounter(TwoDimensionalCounter<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.
saveDoubleArr(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
saveFile(File, String) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
saveProcessedData(List, String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
saveToFilename(String) - Method in class edu.stanford.nlp.util.Index
 
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.Index
This saves the contents of this index into string form, as part of a larger text-serialization.
saveUntaggedContents(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
say(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
scale(double) - Method in interface edu.stanford.nlp.linalg.Array
Returns this * factor does not change receiver.
scale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns a new Counter which is scaled by the given scale factor.
scale(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
Creates a new TwoDimensionalCounter where all the counts are scaled by d.
scaledSGDMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ScaledSGDMinimizer - 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, During the final iterations a series of approximate hessian vector products are built up...
ScaledSGDMinimizer(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
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.weight - Class in edu.stanford.nlp.optimization
 
ScaledSGDMinimizer.weight(double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
ScaledSGDMinimizer.weight(double[], double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
scaleInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies each value in target by scale, in place.
scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
scaleUp - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
scaleUp(boolean) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
score - Variable in class edu.stanford.nlp.fsm.DFSA
 
score() - Method in class edu.stanford.nlp.fsm.DFSA
 
score - Variable in class edu.stanford.nlp.fsm.DFSAState
 
score() - Method in class edu.stanford.nlp.fsm.DFSAState
 
score() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
score() - Method in class edu.stanford.nlp.trees.Constituent
access score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Returns the node's 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
 
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
Scored Object: Wrapper class for holding a scored object
ScoredObject() - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.AcquisitionsPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Returns the log probability of this sequence given the CRF.
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.EmpiricalNERPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.SeminarsPrior
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
 
scoreOf(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the score assigned by this model to the provided sequence.
scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the score assigned by this model to the whole sequence.
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier.TestSequenceModel
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
searchGraphPrefix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
searchGraphPrune - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
second - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
 
second - Variable in class edu.stanford.nlp.util.Triple
 
second() - Method in class edu.stanford.nlp.util.Triple
 
secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
segmentString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
ONLY USE IF LOADED A CHINESE WORD SEGMENTER!!!!!
selfTest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainConfidenceThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainWindowSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SeminarsPrior - Class in edu.stanford.nlp.ie
 
SeminarsPrior(String, Index<String>, List<CoreLabel>) - Constructor for class edu.stanford.nlp.ie.SeminarsPrior
 
Sentence<T extends HasWord> - Class in edu.stanford.nlp.ling
Sentence holds a single sentence, and mediates between word numbers and words.
Sentence() - Constructor for class edu.stanford.nlp.ling.Sentence
Constructs an empty sentence.
Sentence(Collection<T>) - Constructor for class edu.stanford.nlp.ling.Sentence
Constructs a sentence from the input Collection.
sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
 
SeqClassifierFlags - Class in edu.stanford.nlp.sequences
Flags for sequence classifiers.
SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
 
sequence - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
SequenceGibbsSampler - Class in edu.stanford.nlp.sequences
A Gibbs sampler for sequence models.
SequenceGibbsSampler(int, int, SequenceListener, List, boolean) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceGibbsSampler(int, int, SequenceListener, List) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceGibbsSampler(int, int, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceListener - Interface in edu.stanford.nlp.sequences
A class capable of listening to changes about a sequence, represented as an array of type int.
SequenceModel - Interface in edu.stanford.nlp.sequences
Class capable of scoring sequences of a fixed length, typically with a probability distribution over such sequences.
SequenceSampler - Class in edu.stanford.nlp.sequences
This class will sample an output from a sequence model.
SequenceSampler() - Constructor for class edu.stanford.nlp.sequences.SequenceSampler
 
serialize(PrintWriter) - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeCounter(Counter, String) - Static method in class edu.stanford.nlp.stats.Counters
 
serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializedDictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeTextClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize the model to a human readable format.
serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeWeights(String, double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serializeWeights(String, double[], double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serialVersionUID - Static variable in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
set(int, double) - Method in interface edu.stanford.nlp.linalg.Array
Sets value of element at index i to val
set(Class<KEY>, VALUE) - Method in class edu.stanford.nlp.ling.CoreLabel
Associates the given value with the given type for future calls to get.
set(T1) - Method in interface edu.stanford.nlp.optimization.StochasticMinimizer.PropertySetter
 
set(Class<KEY>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Associates the given value with the given type for future calls to get.
set(Class<KEY>, 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<KEY>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap
Associates the given value with the given type for future calls to get.
setAccepting(boolean) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the String after the word.
setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String after the word.
setAll(double) - Method in interface edu.stanford.nlp.linalg.Array
Sets all elements = value (in sparse matrices, sets all nonzero elements = value)
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the String before the word.
setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String before the word.
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.StringLabel
 
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).
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Replaces the ith child of this with the tree t.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Leaves have no children.
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<Tree>) - Method in class edu.stanford.nlp.trees.Tree
Set the children of this tree node to the given list.
setColumnIndex(int) - Method in interface edu.stanford.nlp.linalg.Array
Sets column index of column vector.
setCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Sets the current count for the given key.
setCount(E, String) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use setCount after Double.parseDouble
setCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Sets the count for this 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
 
setCounter(K1, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Sets the current count for each of the given keys.
setCurrent(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the String which is the unmangled word.
setCurrent(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String which is the unmangled word.
setDivider(String) - Static method in class edu.stanford.nlp.ling.LabeledWord
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.TaggedWord
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDivider(String) - Static method in class edu.stanford.nlp.ling.WordTag
Set the String (usually just a single character) used to mark the separation between the word and the tag.
setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
 
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 interface edu.stanford.nlp.ling.HasOffset
Return the ending character offset of the label (or -1 if none).
setEndPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
 
setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Set the String returned when the inner tokenizer returns an end-of-line token.
setEPS(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
 
setFromString(String) - Method in class edu.stanford.nlp.ling.CoreLabel
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) - 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) - Method in class edu.stanford.nlp.ling.WordTag
Sets a WordTag from decoding the String passed in.
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
 
setHessSampleSize(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
 
setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Informs this sequence model that the value of the whole sequence is initialized to sequence
setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
setInitialSequence(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
Informs this sequence model that the value of the whole sequence is initialized to sequence
setInitialSequence(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceListener
Informs this sequence listener that the value of the whole sequence is initialized to sequence
setInitialState(DFSAState<T, S>) - Method in class edu.stanford.nlp.fsm.DFSA
 
setKeepOriginalText(boolean) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets whether created documents should store their source text along with tokenized words.
setKnownLowerCaseWords(Set) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
setLabel(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(Object) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document 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.LabeledScoredTreeLeaf
Sets the label associated with the current node, if there is one.
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.
setLabels(Collection) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document then adds all of the given labels.
setLabels(Collection) - Method in class edu.stanford.nlp.trees.Constituent
 
setLabels(Collection) - Method in interface edu.stanford.nlp.trees.Labeled
Sets the labels associated with this object.
setLabels(Collection) - Method in class edu.stanford.nlp.trees.Tree
 
setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setMap(Map<K1, V1>) - Method in class edu.stanford.nlp.util.MapFactory
A method to get a parameterized (genericized) map out.
setMap(Map<K1, V1>, int) - Method in class edu.stanford.nlp.util.MapFactory
 
setMarkLineBreaks(boolean) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Sets whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
setMaxTime(Long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setObject(T) - Method in class edu.stanford.nlp.util.ScoredObject
 
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize this object using values in Properties file.
setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize using values in Properties file.
setQNMem(int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
setReader(Reader) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the reader from which to read and create documents.
setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
Sets - Class in edu.stanford.nlp.util
Utilities for sets.
setScore(double) - Method in class edu.stanford.nlp.fsm.DFSAState
 
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.LabeledScoredTreeLeaf
Sets the score associated with the current node, if there is one.
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.Tree
Sets the score associated with the current node, if there is one.
setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
 
setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
 
setSource(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer
Sets the source of this Tokenizer to be the Reader r.
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
 
setSpans() - Method in class edu.stanford.nlp.trees.Tree
 
setStart(int) - Method in class edu.stanford.nlp.trees.Constituent
set start node.
setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
set start node.
setStateID(S) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setStaticCapitalizeTimex(boolean) - Method in class edu.stanford.nlp.process.Americanize
 
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(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
 
setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setThird(T3) - Method in class edu.stanford.nlp.util.Triple
 
setTitle(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the title of this Document to the given title.
setTokenizerFactory(TokenizerFactory) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the tokenizerFactory to be used by BasicDocument.parse(String).
setTokenizerFactory(TokenizerFactory) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the tokenizer used to chop up text into words for the documents.
setTOL(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
setValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
setValue(String, String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Sets template values.
setValue(int, String) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the value for the label (if one is stored).
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(double) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
setValue(double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
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
 
setWord(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the word value for the label (if one is stored).
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.Word
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setWords(Collection<T>) - Method in class edu.stanford.nlp.ling.Sentence
Set the Sentence to this Collection of words.
SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SGDMinimizer - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer The basic way to use the minimizer is with a null constructor, then the simple minimize method:

SGDMinimizer() - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
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, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, long) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, long, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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, During the final iterations a series of approximate hessian vector products are built up...
SGDToQNMinimizer(SeqClassifierFlags) - 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
 
SGDToQNMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
shift(int) - Method in class edu.stanford.nlp.sequences.Clique
 
SHIFT_BOTH - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
SHIFT_LONG - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
SHIFT_SHORT - Static variable in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
 
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
shortForm - Variable in class edu.stanford.nlp.ie.pascal.Alignment
 
shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
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.
sighanCorporaDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in corpus
sighanPostProcessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
sigLevelByApproxRand(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes the significance level by approximate randomization, using a default value of 1000 iterations.
sigLevelByApproxRand(double[], double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
Takes a pair of arrays, A and B, which represent corresponding outcomes of a pair of random variables: say, results for two different classifiers on a sequence of inputs.
sigLevelByApproxRand(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(int[], int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(boolean[], boolean[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(boolean[], boolean[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
sigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute the sigmoid function with mean zero.
similarity(String, String) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
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
 
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) - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create parse tree with given root and array of daughter trees.
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.
SimpleTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
Creates a new TreeFactory.
size() - Method in interface edu.stanford.nlp.linalg.Array
Returns number of elements in Array
size() - Method in class edu.stanford.nlp.ling.CoreLabel
Returns the number of keys in the map.
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
size() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
size() - Method in class edu.stanford.nlp.sequences.Clique
The number of nodes in the clique.
size() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
size() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the number of keys stored in the counter.
size() - Method in interface edu.stanford.nlp.stats.Counter
Returns the number of entries in this counter.
size() - Method in class edu.stanford.nlp.stats.IntCounter
 
size() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
size() - Method in class edu.stanford.nlp.trees.Constituent
Return the length of a Constituent
size() - Method in class edu.stanford.nlp.trees.Tree
Returns the number of nodes the tree contains.
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.ArrayHeap
Get the number of elements in the heap.
size() - Method in class edu.stanford.nlp.util.ArrayMap
 
size() - Method in class edu.stanford.nlp.util.Beam
 
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.FileLines
Can be slow.
size() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Number of elements in the queue.
size() - Method in interface edu.stanford.nlp.util.Heap
The number of elements currently in the heap.
size() - Method in class edu.stanford.nlp.util.Index
Returns the number of indexed objects.
size() - Method in interface edu.stanford.nlp.util.IndexInterface
Returns the number of indexed objects.
size() - Method in class edu.stanford.nlp.util.PaddedList
 
size() - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the number of keys in the map.
skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the skew divergence between the two counters.
sList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
sloppyGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SloppyMath - Class in edu.stanford.nlp.math
The class SloppyMath contains methods for performing basic numeric operations.
slurpFile(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file with the given encoding.
slurpFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file
slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given file with the given encoding.
slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpGBFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
slurpGBFileNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
slurpGBURL(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpGBURLNoExceptions(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpGZippedFile(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text in the given File.
slurpReader(Reader) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text from the given Reader.
slurpURL(URL, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURL(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURL(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns all the text at the given URL.
SMDMinimizer - Class in edu.stanford.nlp.optimization
Stochastic Meta Descent Minimizer based on
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[]>) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
source() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
spliceOut(Filter) - 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(Filter, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
split(String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits on whitespace (\\s+).
split(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits the given string using the given regex as delimiters.
splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
splitOnCharWithQuoting(String, char, char, char) - Static method in class edu.stanford.nlp.util.StringUtils
This function splits the String s into multiple Strings using the splitChar.
splitOnHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
splittingTwoEntities(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
start(double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
start(double, double[], double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
start() - Method in class edu.stanford.nlp.trees.Constituent
access start node.
start() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access start node.
start() - Method in class edu.stanford.nlp.util.Timing
Start timer.
startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start (static) timer.
stateID - Variable in class edu.stanford.nlp.fsm.DFSAState
 
stateID() - Method in class edu.stanford.nlp.fsm.DFSAState
 
states() - Method in class edu.stanford.nlp.fsm.DFSA
 
statesReachable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
stem(Word) - Method in class edu.stanford.nlp.process.Morphology
 
stem(WordTag) - Method in class edu.stanford.nlp.process.Morphology
 
stem(String, String) - Method in class edu.stanford.nlp.process.Morphology
 
stem(String, String, Morpha, boolean) - Static method in class edu.stanford.nlp.process.Morphology
Lemmatize the word, being sensitive to the tag, using the passed in lexer.
stemAcronym(String, CliqueTemplates) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
stemmedAcronymIndex - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
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(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
 
stemStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
Return a new WordTag which has the lemma as the value of word().
stochasticBatchSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
This enumeratin was created to organize the selection of different methods for stochastic calculations.
StochasticDiffFunctionTester - Class in edu.stanford.nlp.optimization
 
StochasticDiffFunctionTester(Function) - Constructor for class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
stochasticMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
StochasticMinimizer - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer The basic way to use the minimizer is with a null constructor, then the simple minimize method:

StochasticMinimizer() - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer
 
StochasticMinimizer.InvalidElementException - Class in edu.stanford.nlp.optimization
 
StochasticMinimizer.InvalidElementException(String) - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer.InvalidElementException
 
StochasticMinimizer.PropertySetter<T1> - Interface in edu.stanford.nlp.optimization
 
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.
strictlyFirstOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlySecondOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlyThirdOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlyZeroethOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
stringAToByteArr(String) - Static method in class edu.stanford.nlp.maxent.Convert
 
stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
If first and second are Strings, then this returns an InternedPair 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.
StringLabeledScoredTreeReaderFactory - 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.
StringLabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
 
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
 
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.
StringUtils - Class in edu.stanford.nlp.util
StringUtils is a class for random String things, including output formatting and command line argument parsing.
stringUToByteArr(String) - Static method in class edu.stanford.nlp.maxent.Convert
 
stripAcronym(String) - Static method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
stripSGML(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
stripTags(Reader, List<Integer>, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
 
StripTagsProcessor - Class in edu.stanford.nlp.process
A Processor whose process method deletes all SGML/XML/HTML tags (tokens starting with < and ending with >.
StripTagsProcessor() - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagsProcessor that doesn't mark line breaks.
StripTagsProcessor(boolean) - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagProcessor that marks line breaks as specified.
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
subdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
subtractAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.subtractInPlace(Counter, Counter)
subtractAll(Counter<E>, boolean) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.subtractInPlace(Counter, Counter) and then Counters.retainNonZeros(Counter)
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, ClassicCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
subtractAll(TwoDimensionalCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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.
subtractMultiple(Counter<E>, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.addInPlace(Counter, Counter, double)
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(Collection<Tree>) - 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.
success - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
successorStates() - Method in class edu.stanford.nlp.fsm.DFSAState
 
sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the sum of an array of numbers.
sum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the sum of the portion of an array of numbers between fromIndex, inclusive, and toIndex, exclusive.
sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
suppressEscaping - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
suppressMidDotPostprocessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
switchedFilter(Filter<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters
Filter that's either negated or normal as specified.

T

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.LabeledWord
 
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_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
 
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
 
taggedDependencies() - Method in class edu.stanford.nlp.trees.Tree
Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
taggedDependencies(Filter<Dependency>) - Method in class edu.stanford.nlp.trees.Tree
Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
taggedDependencies(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects for the Tree.
taggedDependencies(Filter<Dependency>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
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.
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
target - Variable in class edu.stanford.nlp.fsm.DFSATransition
 
target() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
terminateOnAverageImprovement(boolean) - 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(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of CoreLabels.
test(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
testAndWriteAnswers(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
testAndWriteAnswers(String, String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
testAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
testAndWriteAnswersKBest(String, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
testAndWriteViterbiSearchGraph(String, String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then write a Viterbi search graph for each sequence.
testBatchSize - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
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.
testDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testGibbs(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testKBest(List<CoreLabel>, Class<? extends CoreAnnotation<String>>, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
testMaxEnt(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Do standard sequence inference, using either Viterbi or Beam inference depending on the value of flags.inferenceType.
testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testSentences(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a Sentence.
testSentenceWithCasing(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of CoreLabels using a TrueCasingDocumentReader.
testString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
testStringAndGetCharacterOffsets(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
testStringInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
testStringXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
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.
testVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TeXHyphenator - Class in edu.stanford.nlp.ie.pascal
Hyphenates words according to the TeX algorithm.
TeXHyphenator() - Constructor for class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
third - Variable in class edu.stanford.nlp.util.Triple
 
third() - Method in class edu.stanford.nlp.util.Triple
 
thisFunc - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
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.
Timing - Class in edu.stanford.nlp.util
A class for measuring how long things take.
Timing() - Constructor for class edu.stanford.nlp.util.Timing
Constructs new Timing object and starts the timer.
timitDatum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
title - Variable in class edu.stanford.nlp.ling.BasicDocument
title of this document (never null).
title() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the title of this document.
title() - Method in interface edu.stanford.nlp.ling.Document
Returns title of document, or "" if the document has no title.
to1D(float[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to1D(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to2D(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Takes a double array of weights which and creates a 2D array where: the first element is the mapped index of featuresIndex the second element is the index of the of the element
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
 
toArray(List<Integer>) - Static method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray(E[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray(List<CoreLabel>[]) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray() - Method in class edu.stanford.nlp.util.FileLines
Can be slow.
toArray(T[]) - Method in class edu.stanford.nlp.util.FileLines
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
 
toBinaryString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
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.
toComparatorDescending(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toContinue() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
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(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
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.
toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
tokenize() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
Returns pieces of text in element as a List of tokens.
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.
tokenizeCRs - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
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 - Variable in class edu.stanford.nlp.ling.BasicDocument
TokenizerFactory used to convert the text into words inside BasicDocument.parse(String).
tokenizerFactory() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the current TokenizerFactory used by BasicDocument.parse(String).
tokenizerFactory - Variable in class edu.stanford.nlp.ling.DocumentReader
Tokenizer used to chop up document text into words.
TokenizerFactory<T> - Interface in edu.stanford.nlp.objectbank
A TokenizerFactory is used to convert a java.io.Reader into a Tokenizer (or an Iterator) over the Objects represented by the text in the java.io.Reader.
tokenizerFactory(TreeFactory, TreeNormalizer, Tokenizer) - Static method in class edu.stanford.nlp.trees.PennTreeReader
 
tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
toLogSpace() - Method in interface edu.stanford.nlp.linalg.Array
Transforms the array to log space.
toLower(char[]) - Static method in class edu.stanford.nlp.ie.pascal.AlignmentFactory
 
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.
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
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.
toPriorityQueue(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a PriorityQueue of the c where the score of the object is its priority.
toProbString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toProbString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
 
toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
 
toSentence(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
Create a Sentence as a list of TaggedWord from two lists of String, one for the words, and the second for the tags.
toSentence(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
Create a Sentence as a list of Word from a list of String.
toSentence(String...) - Static method in class edu.stanford.nlp.ling.Sentence
Create a Sentence as a list of Word objects from an array of String objects.
toSentenceString(Sentence) - Method in class edu.stanford.nlp.trees.Constituent
Print out as a string the subpart of a sentence covered by this Constituent.
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() - 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
 
toString() - Method in class edu.stanford.nlp.fsm.DFSAState
 
toString() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
toString() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString(Index) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
toString() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
toString(Index) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toString(Index) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toString() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
toString(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
toString() - Method in interface edu.stanford.nlp.ie.pascal.AcronymModel.Feature
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
toString() - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
toString() - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
toString(String) - Method in class edu.stanford.nlp.ie.pascal.Alignment
 
toString() - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
 
toString() - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
 
toString() - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
 
toString(int[]) - Static method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
 
toString() - Method in interface edu.stanford.nlp.linalg.Array
Returns String representation of Array
toString() - Method in class edu.stanford.nlp.ling.CoreLabel
 
toString() - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Return a String containing the value (and index, if any) of this label.
toString(String) - Method in class edu.stanford.nlp.ling.CyclicCoreLabel
Returns a formatted string representing this 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() - Method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
toString(boolean) - Method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
toString() - Method in class edu.stanford.nlp.ling.StringLabel
 
toString() - 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() - Method in class edu.stanford.nlp.ling.WordTag
Return a String representation of the label.
toString(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString() - Method in class edu.stanford.nlp.process.Americanize
 
toString() - Method in class edu.stanford.nlp.sequences.Clique
 
toString() - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
toString() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Print the properties specified by this object.
toString() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
toString(int) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a string representation which includes no more than the maxKeysToPrint elements with largest counts.
toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.ClassicCounter
Pretty print a Counter.
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use Counters.toString(Counter, NumberFormat)
toString(Counter<E>, NumberFormat) - Static method in class edu.stanford.nlp.stats.Counters
 
toString() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString(String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString() - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
A simple String representation of this TwoDimensionalCounter, which has the String representation of each key pair on a separate line, followed by the count for that pair.
toString() - Method in class edu.stanford.nlp.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.LabeledScoredTreeLeaf
Convert tree leaf to its label's string.
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.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
 
toString() - Method in class edu.stanford.nlp.util.ArrayHeap
Prints the array entries in sorted comparator order.
toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(boolean[][]) - 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
 
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 maxKeysToPring elements.
toString() - Method in class edu.stanford.nlp.util.Index
Returns a readable version of the Index contents
toString(int) - Method in class edu.stanford.nlp.util.Index
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.MutableDouble
 
toString() - Method in class edu.stanford.nlp.util.MutableInteger
 
toString() - Method in class edu.stanford.nlp.util.PaddedList
 
toString() - Method in class edu.stanford.nlp.util.Pair
 
toString() - Method in class edu.stanford.nlp.util.ScoredComparator
 
toString() - Method in class edu.stanford.nlp.util.ScoredObject
 
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.XMLUtils.XMLTag
 
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
toStringBuffer(StringBuffer) - Method in class edu.stanford.nlp.trees.Tree
Appends the printed form of a parse tree (as a bracketed String) to a StringBuffer.
toStructureDebugString() - Method in class edu.stanford.nlp.trees.Tree
Returns a String reporting what kinds of Tree and Label nodes this Tree contains.
totalCount() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the current total count for all objects in this Counter.
totalCount(Filter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use own loop?
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.GeneralizedCounter
returns the total count of objects in the GeneralizedCounter.
totalCount(Filter<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
 
totalDoubleCount() - Method in class edu.stanford.nlp.stats.ClassicCounter
Deprecated. Use ClassicCounter.totalCount().
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Filter<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(Filter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the total count for all objects in this Counter that pass the given Filter.
totalMass() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
totalMass() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
totalMass() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
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
 
tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Swap any occurances of any characters in the from String in the input String with the corresponding character from the to String.
train() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String, String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String[]) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(ObjectBank<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(ObjectBank<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Train a classifier from documents.getJar
trainDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFileList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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.Tree
Create a transformed Tree.
transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a transformed Tree.
transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
Does whatever one needs to do to a particular tree.
transition(T) - Method in class edu.stanford.nlp.fsm.DFSAState
 
transitions() - Method in class edu.stanford.nlp.fsm.DFSAState
 
Tree - Class in edu.stanford.nlp.trees
The abstract class Tree is used to collect all of the tree types, and acts as a generic extendable type.
Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
TREE_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
TreeCoreAnnotations - Class in edu.stanford.nlp.trees
Set of common annotations for CoreMap's that require classes from the trees package.
TreeCoreAnnotations.HeadTagAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head tag in the map as a pointer to another node.
TreeCoreAnnotations.HeadTagAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
TreeCoreAnnotations.HeadWordAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head word in the map as a pointer to another node.
TreeCoreAnnotations.HeadWordAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeLeaf
Return a TreeFactory that produces trees of the same type as the current Tree.
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 descendent class.
TreeNormalizer - Class in edu.stanford.nlp.trees
A class for tree normalization.
TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
 
TreeReader - Interface in edu.stanford.nlp.trees
A TreeReader adds functionality to another Reader by reading in Trees, or some descendant class.
TreeReaderFactory - Interface in edu.stanford.nlp.trees
A TreeReaderFactory is a factory for creating objects of class TreeReader, or some descendent class.
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.
TreeTransformer - Interface in edu.stanford.nlp.trees
This is a simple interface for a function that alters a local Tree.
trim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
trim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
Triple<T1,T2,T3> - Class in edu.stanford.nlp.util
Class representing an ordered triple of objects, possibly typed.
Triple(T1, T2, T3) - Constructor for class edu.stanford.nlp.util.Triple
 
TrueCasingDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
 
TrueCasingDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.TrueCasingDocumentReaderAndWriter
 
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.
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tune(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
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
 
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
 
tuneSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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
 
twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TypesafeMap<BASE> - Interface in edu.stanford.nlp.util
Type signature for a class that supports the basic operations required of a typesafe heterogeneous map.
TypesafeMap.Key<BASE,VALUE> - Interface in edu.stanford.nlp.util
Base type of keys for the map.

U

unbox(Collection<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unbox(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
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(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the union of sets s1 and s2.
unlock() - Method in class 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.Index
Returns an unmodifiable view of the Index.
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(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(String, int, int, String, int, int) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
unnormalizedConditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the sequence OF being at the end of the table given that the first tag in table is GIVEN.
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unpackToCliqueTemplates(CliqueTemplates, double) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Divides this template into partial templates, and updates the counts of these partial templates in the CliqueTemplates object.
update(double[], double[], double[], double[], double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
update(double[], double[], double, double, double, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in interface edu.stanford.nlp.sequences.SequenceListener
Informs this sequence listener that the value of the element at position pos has changed.
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.
urls - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
URLSimilarity(String, String) - Static method in class edu.stanford.nlp.ie.pascal.AcronymModel
 
use4Clique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABGENE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAcqPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useACR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAltGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useANTE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useBeginSent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBig5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBigramInTwoClique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBoundarySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChPos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
use POS information (an "open" feature for Chinese segmentation)
useChunks - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChunkySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useClassFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictASBC2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictCTB2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictHK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictleng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictPK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctiveShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEitherSideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEitherSideWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypeSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExtraTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFilter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFirstWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFloat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFREQ - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettePhrases - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGenericFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGENIA - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGoodForNamesCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHeadGov - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHuber - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHybrid - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsDateRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsURL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useKBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLastRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmaAsWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLongSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMidDotShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useMoreAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMsr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMSRChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMUCFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNERPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNext - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNPGovernor - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNPHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNumberFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedSequencesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOccurrencePatterns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOnlySeenWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOrdinal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOutDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useParenMatching - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePosition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePre - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrev - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevNextLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuartic - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2b - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRadical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useReverse - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useReverseAffix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRobustQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useScaledSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSeenFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSegmentation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSemPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGDtoQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usesLC(int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Returns true if the specified word shaper uses known lower case words.
useSMD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useStochasticQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSuf - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSymTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSymWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSymWordPairs Has a small negative effect.
useTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTaggySequencesShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTitle - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTOK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeBlock - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnknown - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useURLSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEBFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordLabelCounts - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordTag - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
uStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.maxent.Convert
 
uStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
uStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 

V

v - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AfterAligned
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.AlignedPerWord
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.BegWord
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.EndWord
 
value(Alignment) - Method in interface edu.stanford.nlp.ie.pascal.AcronymModel.Feature
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.LettersAligned
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.SyllableBoundary
 
value(Alignment) - Method in class edu.stanford.nlp.ie.pascal.AcronymModel.WordsSkipped
 
value() - Method in class edu.stanford.nlp.ling.CoreLabel
Return a String representation of just the "main" value of this label.
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.AbstractCachingDiffFloatFunction
 
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
 
valueAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
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(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.
valueAt(float[]) - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
 
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.ling.AnnotationLookup.KeyLookup
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in 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.QNMinimizer.eLineSearch
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
Returns the enum constant of this type with the specified name.
valueOf(int, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(int[]) - Static method in class edu.stanford.nlp.sequences.Clique
Make a clique over the provided relativeIndices.
valueOf(Clique, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
Returns the Counter over Strings specified by this String.
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(List<F>) - Static method in class edu.stanford.nlp.util.PaddedList
A static method that provides an easy way to create a list of a certain parametric type.
valueOfIgnoreComments(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
Similar to valueOf in that it returns the Counter over Strings specified by this String.
values() - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.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.QNMinimizer.eLineSearch
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class edu.stanford.nlp.stats.ClassicCounter
 
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
 
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
verbose - Static variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 
ViterbiSearchGraphBuilder - Class in edu.stanford.nlp.sequences
 
ViterbiSearchGraphBuilder() - Constructor for class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 

W

w - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.weight
 
wasSuccessful() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
WEAK_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
wideDisjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
window() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
windowSize - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
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 - 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
 
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.
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.
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 word.
wordShape(String, int, Set) - 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 word.
wordShape(String, int, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShape(String, int, boolean, Set) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris1(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris2(String, boolean, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
This one picks up on Dan2 ideas, but seeks to make less distinctions mid sequence by sorting for long words, but to maintain extra distinctions for short words.
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, boolean, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
This one picks up on Dan2 ideas, but seeks to make less distinctions mid sequence by sorting for long words, but to maintain extra distinctions for short words, by always recording the class of the first and last two characters of the word.
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.
WORDSHAPEDAN1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeDan1(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
A fairly basic 5-way classifier, that notes digits, and upper and lower case, mixed, and non-alphanumeric.
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeDan2(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
A fine-grained word shape classifier, that equivalence classes.
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeDan2Bio(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Returns a fine-grained word shape classifier, that equivalence classes lower and upper case and digits, and collapses sequences of the same type, but keeps all punctuation.
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeJenny1(String, boolean) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
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) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag() - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new 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
 
WordToSentenceProcessor - Class in edu.stanford.nlp.process
Transforms a Document of Words into a Document of Sentences by grouping the Words.
WordToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Create a WordToSentenceProcessor using a sensible default list of tokens to split on.
WordToSentenceProcessor(Set) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, but with a default set of allowed boundary following tokens (based on English and Penn Treebank encoding).
WordToSentenceProcessor(Set, Set) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens and also the set of tokens commonly following sentence boundaries, and the set of discarded separator tokens.
WordToSentenceProcessor(Set, Set, Set) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, the set of tokens commonly following sentence boundaries, and also the set of tokens that are sentences boundaries that should be discarded.
WordToSentenceProcessor(Pattern, Pattern) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
 
workdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
 
workshopInfoCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
 
writeAnswers(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Write the classifications of the Sequence classifier out to stdout in a format determined by the DocumentReaderAndWriter used.
writeAStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeAStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeBooleanToByteArr(byte[], int, boolean) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeCharToByteArr(byte[], int, char) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeDoubleToByteArr(byte[], int, double) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeFloatToByteArr(byte[], int, float) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeIntToByteArr(byte[], int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeLongToByteArr(byte[], int, long) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeObjectToFile(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToFile(Serializable, File) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFileNoExceptions(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToTempFile(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to temp file which is destroyed when the program exits.
writeObjectToTempFileNoExceptions(Serializable, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a temp file and ignore exceptions.
writeShortToByteArr(byte[], int, short) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
writeToFieldValueCounter(ClassicCounter[], double) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
Should be passed a Counter[], each entry of which keeps scores for possibilities in that template slot.
writeUStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.maxent.Convert
 
writeUStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.maxent.Convert
 

X

x - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
XMLBeginEndIterator<E> - Class in edu.stanford.nlp.objectbank
A class which iterates over Strings occuring between the begin and end of a selected tag or tags.
XMLBeginEndIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
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 desparate Perl hacker.
XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
XMLUtils.XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag
Assumes that String contains XML tag.
xPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 

Y

yield() - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(Sentence<X>) - 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.
yList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 

Z

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

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Stanford NLP Group