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

A

AbstractContextGenerator - Class in eus.ixa.ixa.pipe.ml.parse

Abstract class containing many of the methods used to generate contexts for parsing.

AbstractContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

AbstractParserEventStream - Class in eus.ixa.ixa.pipe.ml.parse

Abstract class extended by parser event streams which perform tagging and chunking.

AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

acronym - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

General acronyms.

add(Parse, HeadRules) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

addFeatureGenerator(DocumentFeatureGenerator) - Method in class eus.ixa.ixa.pipe.ml.document.DefaultDocumentClassifierContextGenerator

addFeatureGenerator(DocumentFeatureGenerator) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifierContextGenerator

Adds a feature generator to this set of feature generators.

addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerContextGenerator

Adds a feature generator to this set of feature generators.

additionalContext(String[], Map<String, String>) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream

Generated previous decision features for each token based on contents of the specified map.

addNames(String, Span[], Parse[]) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Utility method to inserts named entities.

addNextPunctuation(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Designates that the specified punctuation follows this parse.

addParseEvents(List<Event>, Parse[]) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

Produces all events for the specified sentence chunks and adds them to the specified list.

addPreviousPunctuation(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Designates that the specified punctuation should is prior to this parse.

addProb(double) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Adds the specified probability log to this current log for this parse.

adjoin(Parse, HeadRules) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Sister adjoins this node's last child and the specified sister node and returns their new parent node.

adjoinRoot(Parse, HeadRules, int) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

advanceChunks(Parse, double) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Returns the top chunk sequences for the specified parse.

advanceTags(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Advances the parse by assigning it POS tags and returns multiple tag sequences.

AlphaAposAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Alphabetic apostrophe and alphabetic.

alphaAposNonAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Alphabetic apostrophe and non alpha.

alphabetic - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Any alphabetic character.

alphaNumParaLowerNum - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Alphanumeric, maybe a space, paragraph mark, maybe a space, and lowercase letter or digit.

AncoraHeadRules - Class in eus.ixa.ixa.pipe.ml.parse

Class for obtaining head rules from Spanish Ancora parse trees.

AncoraHeadRules(Reader) - Constructor for class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

Creates a new set of head rules based on the specified reader.

AncoraHeadRules.AncoraHeadRulesSerializer - Class in eus.ixa.ixa.pipe.ml.parse

AncoraHeadRulesSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer

AnnotateProperties - Class in eus.ixa.ixa.pipe.ml.utils

Properties for annotation.

apostrophe - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

apply(String, String) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

Lookup lemma in a dictionary.

apply(String, String) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer

Looks-up the lemma in a dictionary.

areOutcomesCompatible(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

areOutcomesCompatible(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

areOutcomesCompatible(String[]) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec

Checks if the outcomes of the model are compatible with the codec.

asciiHex - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Non printable control characters.

asSpanArray(T) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

asSpanArray(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerDetailedFMeasureListener

B

BagOfWordsFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

Generates a feature for each word in a document.

BagOfWordsFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.BagOfWordsFeatureGenerator

beginLink - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Re-tokenize beginning of link.

BigramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Adds bigram features based on tokens and token class using TokenClassFeatureGenerator.

BigramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator

BilouCodec - Class in eus.ixa.ixa.pipe.ml.sequence

BilouCodec() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

BilouSequenceValidator - Class in eus.ixa.ixa.pipe.ml.sequence

BilouSequenceValidator() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.BilouSequenceValidator

BioCodec - Class in eus.ixa.ixa.pipe.ml.sequence

BioCodec() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.BioCodec

BRACKET_LCB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BRACKET_LRB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BRACKET_LSB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BRACKET_RCB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BRACKET_RRB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BRACKET_RSB - Static variable in class eus.ixa.ixa.pipe.ml.parse.Parse

BrownBigramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

BrownBigramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

BrownTokenClasses - Class in eus.ixa.ixa.pipe.ml.features

Obtain the paths listed in the pathLengths array from the Brown class.

BrownTokenClasses() - Constructor for class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses

BrownTokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

BrownTokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

BrownTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

BrownTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

BrownTrigramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

BrownTrigramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

BUFFER_SIZE - Static variable in class eus.ixa.ixa.pipe.ml.utils.IOUtils

BuildContextGenerator - Class in eus.ixa.ixa.pipe.ml.parse

Class to generator predictive contexts for deciding how constituents should be combined together.

BuildContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator

Creates a new context generator for making decisions about combining constituents together.

BuildContextGenerator(Dictionary, Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator

buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.

buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Creates a n-gram dictionary from the specified data stream using the specified head rule and specified cut-off.

C

CHAR_NGRAM_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

CharacterNgramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.

CharacterNgramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator

Initializes the current instance.

checkcons(Parse, String, String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Produces features to determine whether the specified child node is part of a complete constituent of the specified type and adds those features to the specfied list.

checkcons(Parse, Parse, String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

CheckContextGenerator - Class in eus.ixa.ixa.pipe.ml.parse

Class for generating predictive context for deciding when a constituent is complete.

CheckContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator

Creates a new context generator for generating predictive context for deciding when a constituent is complete.

CheckContextGenerator(Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator

ChunkBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features

Baseline features to train a Chunker.

ChunkBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

ClarkFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

ClarkFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

classify(String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Classifies the given text, provided in separate tokens.

classify(String[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

classify(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

Classifies the given text, provided in separate tokens.

classifyProb(String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Classifies the given text, provided in separate tokens.

classifyProb(String[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

Classify the given text provided as tokens.

classifyProb(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

Classifies the given text, provided in separate tokens.

classifySortedScoreMap(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

Get a map of the scores sorted in ascending order together with their associated labels.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator

Clears the previous map.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator

Clears the previous map.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator

Clears the previous map.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Clear the adaptiveData for each document.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

clearAdaptiveData() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabeler

Forgets all adaptive data which was collected during previous calls to one of the find methods.

clearAdaptiveData() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerContextGenerator

Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Forgets all adaptive data which was collected during previous calls to one of the find methods.

clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Forgets all adaptive data which was collected during previous calls to one of the find methods.

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.DefaultDocumentClassifierContextGenerator

clearFeatureData() - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Informs the feature generator that the context of the data in the context (typically a document) is no longer valid.

clearFeatureData() - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifierContextGenerator

Informs all the feature generators for a document classifier that the context of the feature data (typically a document) is no longer valid.

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

Forgets all adaptive data which was collected during previous calls to one of the find methods.

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.BagOfWordsFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownBigramFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenClassFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocCharacterNgramFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaDictionaryFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaModelFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocOutcomePriorFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPolarityDictionaryFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPOSTagModelFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPrefixFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSentenceFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSuffixFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocTokenClassFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureAggregator

Calls the DocumentFeatureGenerator.clearFeatureData() method on all aggregated DocumentFeatureGenerators.

clearFeatureData() - Method in interface eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureGenerator

Informs the feature generator that the context of the data in the context (typically a document) is no longer valid.

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocWord2VecClusterFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.document.features.NGramFeatureGenerator

clearFeatureData() - Method in class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

Forgets all adaptive data which was collected during previous calls to one of the find methods.

CLI - Class in eus.ixa.ixa.pipe.ml

Main class of ixa-pipe-ml, the IXA pipes (ixa2.si.ehu.es/ixa-pipes) Machine Learning library.

CLI() - Constructor for class eus.ixa.ixa.pipe.ml.CLI

Construct a CLI object with the sub-parsers to manage the command line parameters.

clone() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

clone(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Clones the right frontier of parse up to the specified node.

cloneRoot(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Clones the right frontier of this root parse up to and including the specified node.

close() - Method in class eus.ixa.ixa.pipe.ml.document.DocSampleStream

close() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

close() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

close() - Method in class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat

close() - Method in class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat

close() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

collapsePunctuation(Parse[], Set<String>) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.

CollinsHeadFinder - Class in eus.ixa.ixa.pipe.ml.parse

HeadFinder for constituent parse using Collins rules.

CollinsHeadFinder(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.parse.CollinsHeadFinder

commaNoDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Comma and no digit.

compareTo(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

compareTo(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Compares the specified span to the current span.

complete() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns whether this parse is complete.

COMPLETE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Outcome used when a constituent is complete.

componentException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Computes the Shortest Edit Script (SES) to convert a word into its lemma.

concatenateSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span

Concatenates two span lists adding the spans of the second parameter to the list in first parameter.

CoNLL02Format - Class in eus.ixa.ixa.pipe.ml.formats

2 fields CoNLL 2002 tabulated format: word\tabclass\n B- start chunk I- inside chunk O- outside chunk.

CoNLL02Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

Construct a Sequence Stream from a language and a ObjectStream.

CoNLL02Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

Construct a Sequence Stream from a language and an input stream.

CoNLL03Format - Class in eus.ixa.ixa.pipe.ml.formats

2 fields CoNLL 2003 tabulated format: word\tabclass\n I- start chunk B- begin chunk when next to same class entity O- outside chunk

CoNLL03Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

Construct a CoNLL03Format formatter.

CoNLL03Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

Construct a CoNLL03 formatter.

cons(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Cons - Class in eus.ixa.ixa.pipe.ml.parse

Class to hold feature information about a specific parse node.

Cons(String, String, int, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Cons

cons2(List<String>, Cons, Cons, Collection<Parse>, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

cons3(List<String>, Cons, Cons, Cons, Collection<Parse>, Collection<Parse>, boolean, boolean, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Creates cons features involving the 3 specified nodes and adds them to the specified feature list.

consbo(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Constituent - Class in eus.ixa.ixa.pipe.ml.parse

Class used to hold constituents when reading parses.

Constituent(String, Span) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Constituent

contains(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns true if the specified span is contained by this span.

contains(int) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns true if the specified index is contained inside this span.

contextGenerator - Variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

CONTINUE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

CONTINUE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

contPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

conventionalPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence marker, one or more paragraph marks, maybe some starting punctuation, uppercase.

convertListTokenToArrayStrings(List<Token>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Convert a list of token objects (e.g.

convertNonCanonicalStrings(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer

Converts non-unicode and other strings into their unicode counterparts.

corpusFormatException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

correctlyClassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

correctlyClassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

create(String, byte[], Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

create(InputStream, FeatureGeneratorResourceProvider) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentGeneratorFactory

Creates an DocumentFeatureGenerator from an provided XML descriptor.

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer

create(String, Dictionary, Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource.MFSResourceSerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer

create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster.WordClusterSerializer

create(String, byte[], Map<String, Object>, SequenceLabelerCodec<String>) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

createArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

createArtifactSerializers() - Static method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

Create the artifact serializers.

createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

createArtifactSerializers() - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

Create the artifact serializers.

createBuildContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

createCheckContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

createContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

createContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

createDisjunctRegexFromList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

createDocumentClassificationFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

Create createDocumentClassificationFactory .

createDocumentFeatureDescriptor(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureDescriptor

Generate the XML feature descriptor from the TrainingParameters prop file.

createEvents(DocSample) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEventStream

createEvents(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

createEvents(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

createEvents(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream

createFeatureGenerators() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

Creates the DocumentFeatureGenerator.

createFeatureGenerators() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

Creates the AdaptiveFeatureGenerator.

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.BagOfWordsFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownBigramFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenClassFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocCharacterNgramFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaDictionaryFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaModelFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocOutcomePriorFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPolarityDictionaryFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPOSTagModelFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPrefixFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSentenceFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSuffixFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocTokenClassFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureAggregator

Calls the DocumentFeatureGenerator.createFeatures(List, String[]) method on all aggregated DocumentFeatureGenerators.

createFeatures(List<String>, String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureGenerator

Extract features from given text fragments

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocWord2VecClusterFeatureGenerator

createFeatures(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.ml.document.features.NGramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

createParserFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

createReport() - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

createReport(Locale) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

createSequence(String, String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory

Constructs a SequenceLabel as a String with a class type (e.g.

createSequence(String, String, Span) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory

Constructs a SequenceLabel as a String with a type and a Span specified in terms of the number of tokens it contains.

createSequence(String, String, int, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory

Constructs a SequenceLabel as a String with corresponding offsets and length from which to calculate start and end position of the Name.

createSequence(String, String, Span, int, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory

Constructs a Sequence as a String with corresponding offsets and length from which to calculate start and end position of the Sequence.

createSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

createSequenceLabelerFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Create SequenceLabelerFactory with custom features.

createSequenceLabelerFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

createSequenceValidator() - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

createSequenceValidator() - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

createSequenceValidator() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec

Creates a sequence validator which can validate a sequence of outcomes.

createToken(String, int, int) - Method in class eus.ixa.ixa.pipe.ml.tok.TokenFactory

Constructs a Token as a String with corresponding offsets and length from which to calculate start and end position of the Token.

createXMLFeatureDescriptor(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor

Generate the XML feature descriptor from the TrainingParameters prop file.

crosses(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns true is the specified span crosses this span.

crossValidate(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator

CrossValidator - Class in eus.ixa.ixa.pipe.ml.eval

Abstract class for common training functionalities.

CrossValidator(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.eval.CrossValidator

D

datasetException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

DEBUG - Static variable in class eus.ixa.ixa.pipe.ml.resources.Dictionaries

DEBUG - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

debugOn - Variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Turns debug print on or off.

decode(List<String>) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

decode(List<String>) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

decode(List<T>) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec

Decodes a sequence T objects into Span objects.

decodeLemmas(String[], Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Decodes the lemma from the word and the induced lemma class.

decodeLemmasToSpans(String[], Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Decodes the lemma induced type into the lemma and sets it as value of the Span type.

decodeSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Decode Sequences from an array of Strings.

decodeShortestEditScript(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Read predicted SES by the lemmatizer model and apply the permutations to obtain the lemma from the wordForm.

DEFAULT_ALL_MORPHOLOGY - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Output all POS and Lemma analysis before disambiguation.

DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

Default beam size for decoding.

DEFAULT_BEAMSIZE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The default beam size used if no beam size is given.

DEFAULT_BOW_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_DICT_CUTOFF - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_DICT_OPTION - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_DICT_PATH - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_DICTAG - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Correct statistical POS tagger output with monosemic dictionary.

DEFAULT_EVAL_FORMAT - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_EVALUATE_MODEL - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_FEATURE_FLAG - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_FOLDS_VALUE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_HARD_PARAGRAPH - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Choose between 'yes' and 'no'.

DEFAULT_HOSTNAME - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_LEXER - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_MFS_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_MULTIWORDS - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Detect multiwords.

DEFAULT_NORMALIZE - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Choose corpus conventions for normalization of punctuation.

DEFAULT_OUTPUT_FORMAT - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_POSTAG_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_PREFIX_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_PREFIX_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SENTENCE_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SENTENCE_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SEQUENCE_CODEC - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SEQUENCE_TYPES - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SUFFIX_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SUFFIX_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_SUPERSENSE_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_TASK - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_TOKEN_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_TOKENCLASS_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

DEFAULT_TYPE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

The a default type value when there is no type in training data.

DEFAULT_UNTOKENIZABLE_STRING - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Choose between 'yes' and 'no'.

DEFAULT_WINDOW - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags

defaultAdvancePercentage - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The default amount of probability mass required of advanced outcomes.

DefaultDocumentClassifierContextGenerator - Class in eus.ixa.ixa.pipe.ml.document

Class for determining contextual features for a tag/chunk style named-entity recognizer.

DefaultDocumentClassifierContextGenerator(DocumentFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.document.DefaultDocumentClassifierContextGenerator

Creates a name context generator with the specified cache size.

DefaultSequenceLabelerContextGenerator - Class in eus.ixa.ixa.pipe.ml.sequence

Class for determining contextual features for a tag/chunk style named-entity recognizer.

DefaultSequenceLabelerContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

Creates a name context generator with the specified cache size.

DetailedFMeasureListener<T> - Class in eus.ixa.ixa.pipe.ml.sequence

This listener will gather detailed information about the sample under evaluation and will allow detailed FMeasure for each outcome.

DetailedFMeasureListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

detailEvaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate

Evaluate and print the precision, recall and F measure per sequence class.

deTokenEnglishNegation - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Detokenize wrongly tokenize n't English contractions.

detokenParagraphs - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

De-tokenize paragraph marks.

devSetException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

dict - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

Dictionaries - Class in eus.ixa.ixa.pipe.ml.resources

Class to load a directory containing dictionaries into a list of Dictionaries.

Dictionaries(String) - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionaries

Construct the dictionaries from the input directory path.

DictionariesNERTagger - Class in eus.ixa.ixa.pipe.ml.nerc

Named Entity Recognition module based on Dictionaries objects This class provides the following functionalities: string matching against of a string (typically tokens) against a Dictionary containing names.

DictionariesNERTagger(Dictionaries) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Construct a DictionaryNameFinder using one dictionary and one named entity class.

DictionariesNERTagger(Dictionaries, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Construct a DictionariesNameFinder with a dictionary, a type and a name factory.

Dictionary - Class in eus.ixa.ixa.pipe.ml.resources

Dictionary class which reads a serialized HashMap String, String from a tab separated file name\tclass\t.

Dictionary(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionary

Dictionary.DictionarySerializer - Class in eus.ixa.ixa.pipe.ml.resources

dictionaryException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

DictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Checks if a named entity is in a gazetteer.

DictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

dictionaryFeaturesException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

DictionaryLemmatizer - Class in eus.ixa.ixa.pipe.ml.lemma

Lemmatize by simple dictionary lookup into a serialized hashmap built from a file containing, for each line, word\tablemma\tabpostag.

DictionaryLemmatizer(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

Construct a hashmap from the input tab separated dictionary.

DictionaryLemmatizer.DictionaryLemmatizerSerializer - Class in eus.ixa.ixa.pipe.ml.lemma

DictionaryLemmatizerSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer

DictionaryPolarityTagger - Class in eus.ixa.ixa.pipe.ml.polarity

DictionaryPolarityTagger(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.polarity.DictionaryPolarityTagger

DictionarySerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer

DictionaryTagger - Interface in eus.ixa.ixa.pipe.ml.pos

Interface of the pos tagger based on Dictionary lookup.

digitCommaNoDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Digit comma and non digit.

DOC_TRAINER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI

DocBrownBigramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocBrownBigramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocBrownBigramFeatureGenerator

DocBrownTokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocBrownTokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenClassFeatureGenerator

DocBrownTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocBrownTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenFeatureGenerator

DocCharacterNgramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

The DocCharacterNgramFeatureGenerator uses character ngrams to generate features about each token.

DocCharacterNgramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocCharacterNgramFeatureGenerator

Initializes the current instance.

DocClarkFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocClarkFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

DocClassifierCrossValidator - Class in eus.ixa.ixa.pipe.ml.document

Cross validator for document classification.

DocClassifierCrossValidator(String, TrainingParameters, DocumentClassifierFactory, DocumentClassifierEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocClassifierCrossValidator

DOCEVAL_PARSER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI

DocLemmaDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

Generate lemma features from a dictionary as feature of the current token.

DocLemmaDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocLemmaDictionaryFeatureGenerator

DocLemmaModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

This feature generator can also be placed in a sliding window.

DocLemmaModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocLemmaModelFeatureGenerator

DocOutcomePriorFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

The definition feature maps the underlying distribution of outcomes.

DocOutcomePriorFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocOutcomePriorFeatureGenerator

DocPolarityDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

Checks if a named entity is in a gazetteer.

DocPolarityDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocPolarityDictionaryFeatureGenerator

DocPOSTagModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

This feature generator can also be placed in a sliding window.

DocPOSTagModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocPOSTagModelFeatureGenerator

DocPrefixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocPrefixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocPrefixFeatureGenerator

DocSample - Class in eus.ixa.ixa.pipe.ml.document

Class which holds a classified document and its category.

DocSample(String, String[], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocSample

DocSampleStream - Class in eus.ixa.ixa.pipe.ml.document

This class reads in string encoded training samples, parses them and outputs DocSample objects.

DocSampleStream(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocSampleStream

DocSentenceFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocSentenceFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocSentenceFeatureGenerator

DOCSTART - Static variable in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

The doc mark present in CoNLL 2003 datasets.

DocSuffixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocSuffixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocSuffixFeatureGenerator

DocTokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

Generates a class name for the specified token.

DocTokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocTokenClassFeatureGenerator

DocumentClassifier - Interface in eus.ixa.ixa.pipe.ml.document

Interface for classes which classifies documents.

DocumentClassifierContextGenerator - Interface in eus.ixa.ixa.pipe.ml.document

Context generator for the Document Classifier.

DocumentClassifierEvaluate - Class in eus.ixa.ixa.pipe.ml.eval

Evaluation class mostly using DocumentClassifierEvaluator.

DocumentClassifierEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.DocumentClassifierEvaluate

Construct an evaluator.

DocumentClassifierEvaluationMonitor - Interface in eus.ixa.ixa.pipe.ml.document

EvaluationMonitor for the document classifier.

DocumentClassifierEvaluator - Class in eus.ixa.ixa.pipe.ml.document

The DocumentClassifierEvaluator measures the performance of the given DocumentClassifier with the provided reference DocSamples.

DocumentClassifierEvaluator(DocumentClassifier, DocumentClassifierEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEvaluator

Initializes the current instance.

DocumentClassifierEventStream - Class in eus.ixa.ixa.pipe.ml.document

Iterator-like class for modeling document classification events.

DocumentClassifierEventStream(ObjectStream<DocSample>, DocumentClassifierContextGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEventStream

Initializes the current instance via samples and feature generators.

DocumentClassifierFactory - Class in eus.ixa.ixa.pipe.ml.document

DocumentClassifierFactory() - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

Creates a DocumentClassifierFactory that provides the default implementation of the resources.

DocumentClassifierFactory(byte[], Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

DocumentClassifierME - Class in eus.ixa.ixa.pipe.ml.document

Statistical implementation of DocumentClassifier.

DocumentClassifierME(DocumentClassifierModel) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

Initializes the current instance with a DocumentClassifier model.

DocumentClassifierModel - Class in eus.ixa.ixa.pipe.ml.document

A model for document classification.

DocumentClassifierModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>, DocumentClassifierFactory) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

DocumentClassifierModel(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

DocumentClassifierModel(File) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

DocumentClassifierModel(URL) - Constructor for class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

DocumentClassifierModel.FeatureGeneratorCreationError - Exception in eus.ixa.ixa.pipe.ml.document

DocumentClassifierTrainer - Class in eus.ixa.ixa.pipe.ml

Trainer based on Apache OpenNLP Machine Learning API.

DocumentClassifierTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

Construct a trainer with training and test data and language options.

DocumentCustomFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocumentCustomFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocumentCustomFeatureGenerator

DocumentFeatureAggregator - Class in eus.ixa.ixa.pipe.ml.document.features

The DocumentFeatureAggregator aggregates a set of DocumentFeatureGenerators and calls them to generate the features.

DocumentFeatureAggregator(DocumentFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureAggregator

Initializes the current instance.

DocumentFeatureAggregator(Collection<DocumentFeatureGenerator>) - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureAggregator

DocumentFeatureDescriptor - Class in eus.ixa.ixa.pipe.ml.document.features

Class to automatically generate the feature descriptor from a trainParams.properties file.

DocumentFeatureGenerator - Interface in eus.ixa.ixa.pipe.ml.document.features

Interface for generating features for document classification.

DocumentGeneratorFactory - Class in eus.ixa.ixa.pipe.ml.document.features

Creates a set of feature generators based on a provided XML descriptor.

DocumentGeneratorFactory() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocumentGeneratorFactory

DocumentModelResources - Class in eus.ixa.ixa.pipe.ml.document.features

DocWord2VecClusterFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

DocWord2VecClusterFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.DocWord2VecClusterFeatureGenerator

dotInsideI - Static variable in class eus.ixa.ixa.pipe.ml.resources.PredicateContext

Turkish capital letter I with dot.

dotmultiDot - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Multi dot pattern and extra dot.

dotmultiDotAny - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Dot multi pattern followed by anything.

doubleAsciiQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

doubleAsciiQuoteAlphaNumeric - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

doubleBar - Static variable in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Pattern to remove double bars from disjunct regex.

doubleLineBreak - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Two lines.

doubleSpaces - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

One or more spaces.

dropOverlappingSpans(Span[]) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Removes spans with are intersecting or crossing in anyway.

E

ellipsis - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

encode(Span[], int) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

encode(Span[], int) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

encode(Span[], int) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec

Encodes Span objects into a sequence of T objects.

END_TAG - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream

endInsideQuotesPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence marker, maybe one or more paragraph marks, final punctuation (quotes, brackets), two or more paragraph marks, maybe some initial punctuation, maybe some space and uppercase.

endInsideQuotesSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence marker, maybe a space, punctuation (quotes, brackets), space, maybe some more punctuation, maybe some space and uppercase.

endLink - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

endOfSentenceApos - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Tokenize apostrophes occurring at the end of the string.

endPunctLinkPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence markers, paragraph mark and link.

endPunctLinkSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence punctuation, maybe spaces and link.

englishApos - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Split English apostrophes.

englishNegations - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Split English negative contractions.

EOS - Static variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

equals(Object) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Checks if the specified span is equal to the current span.

etype - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

The type of events being generated by this event stream.

eus.ixa.ixa.pipe.ml - package eus.ixa.ixa.pipe.ml

Package containing common code for training and evaluating IXA pipes models.

eus.ixa.ixa.pipe.ml.document - package eus.ixa.ixa.pipe.ml.document

Classes related to Document Classification.

eus.ixa.ixa.pipe.ml.document.features - package eus.ixa.ixa.pipe.ml.document.features

Classes for Document Classification features.

eus.ixa.ixa.pipe.ml.eval - package eus.ixa.ixa.pipe.ml.eval

Package containing common code for evaluation of ixa-pipe-nerc.

eus.ixa.ixa.pipe.ml.features - package eus.ixa.ixa.pipe.ml.features

Features of ixa-pipe-ml.

eus.ixa.ixa.pipe.ml.formats - package eus.ixa.ixa.pipe.ml.formats

Classes to directly train NERC models from a variety of corpus formats.

eus.ixa.ixa.pipe.ml.lemma - package eus.ixa.ixa.pipe.ml.lemma

Package containing classes related to dictionary lemmatizers.

eus.ixa.ixa.pipe.ml.lexer - package eus.ixa.ixa.pipe.ml.lexer

Package containing the lexers.

eus.ixa.ixa.pipe.ml.nerc - package eus.ixa.ixa.pipe.ml.nerc

Package containing Named Entity Recognition and Classification classes.

eus.ixa.ixa.pipe.ml.parse - package eus.ixa.ixa.pipe.ml.parse

Package containing the Parser classes.

eus.ixa.ixa.pipe.ml.polarity - package eus.ixa.ixa.pipe.ml.polarity

Classes related to polarity tagging and Aspect Based Sentiment Analysis.

eus.ixa.ixa.pipe.ml.pos - package eus.ixa.ixa.pipe.ml.pos

Package containing the POS tagging classes.

eus.ixa.ixa.pipe.ml.resources - package eus.ixa.ixa.pipe.ml.resources

Package containing the dictionaries, clustering lexicons and other resources.

eus.ixa.ixa.pipe.ml.sequence - package eus.ixa.ixa.pipe.ml.sequence

The package containing all the infrastructure for Sequence objects.

eus.ixa.ixa.pipe.ml.tok - package eus.ixa.ixa.pipe.ml.tok

Package containing the Sentence Segmenter and Tokenizer classes.

eus.ixa.ixa.pipe.ml.utils - package eus.ixa.ixa.pipe.ml.utils

Utility classes.

evalError() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate

Evaluate and print every error.

evaluate(ObjectStream<DocSample>, int) - Method in class eus.ixa.ixa.pipe.ml.document.DocClassifierCrossValidator

Starts the evaluation.

evaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.DocumentClassifierEvaluate

evaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.ParserEvaluate

Evaluate and print precision, recall and F measure.

evaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate

Evaluate and print precision, recall and F measure.

evaluate(ObjectStream<SequenceLabelSample>, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator

Starts the evaluation.

evaluateAccuracy() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate

EvaluationErrorPrinter<T> - Class in eus.ixa.ixa.pipe.ml.sequence

Note: Do not use this class, internal use only!

EvaluationErrorPrinter(OutputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

exactStringFinder(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Finds a pattern (typically a named entity string) in a sentence string.

exactTokenFinder(String, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Finds a pattern (typically a named entity string) in a tokenized sentence.

exactTokenFinderIgnoreCase(String, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Finds a pattern (typically a named entity string) in a tokenized sentence.

expandTopNode(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

extract(int, int, String) - Static method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

extractCustomArtifactSerializerMappings(InputStream) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentGeneratorFactory

extractSequenceType(String) - Static method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

F

FINAL_PUNCT - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Final punctuation in unicode.

firstChild(Parse, Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

Returns true if the specified child is the first child of the specified parent.

FivegramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Adds fivegram features based on tokens and token class using TokenClassFeatureGenerator.

FivegramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator

fixPossesives - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

fixPossesives(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Flags - Class in eus.ixa.ixa.pipe.ml.utils

Flags for training.

FourgramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Adds fourgram features based on tokens and token class using TokenClassFeatureGenerator.

FourgramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator

G

GapLabeler - Interface in eus.ixa.ixa.pipe.ml.parse

Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.

generalBlankPunctuation - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Non printable punctuation characters.

generateEvents(String[], String[], SequenceLabelerContextGenerator) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream

getAccuracy() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEvaluator

Retrieves the accuracy of provided DocumentClassifier.

getAdditionalContext() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

getAllLabels(double[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Get the label associated with the given probabilities.

getAllLabels(double[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

getAllPosLemmas(String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer

getAllTags(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Produces a multidimensional array containing all the taggings possible for a given sentence.

getAmbiguityClass(String) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource

getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownBigramFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenClassFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaDictionaryFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaModelFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPolarityDictionaryFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPOSTagModelFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocWord2VecClusterFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

getBagOfWordsFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getBagOfWordsFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getBeamSize() - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator

getBeamSize() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getBeamsize(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getBestLabel(double[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Get the best label from previously generated outcome probabilities.

getBestLabel(double[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

getBigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getBilouDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

Performs gazetteer match in a bilou encoding.

getBioDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

Performs gazetteer match in a bio encoding.

getBrownFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getBuildModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getCharNgramFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getCharNgramFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getCheckModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getChildCount() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the number of children for this parse node.

getChildren() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the child constituents of this constituent .

getChunkBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getChunkerFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Get the features which are implemented in each of the trainers extending this class.

getClarkFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getClearEvaluationFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getClearTrainingFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getClusterLexiconFiles(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

Get a parameter in trainParams.prop file consisting of a list of clustering lexicons separated by comma "," and return a list of files, one for each lexicon.

getCommonParent(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the deepest shared parent of this node and the specified node.

getComponent(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getContext(String[]) - Method in class eus.ixa.ixa.pipe.ml.document.DefaultDocumentClassifierContextGenerator

getContext(String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifierContextGenerator

getContext(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator

getContext(Parse[], int) - Method in class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator

Returns the predictive context used to determine how constituent at the specified index should be combined with other contisuents.

getContext(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator

getContext(Parse[], String, int, int) - Method in class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator

Returns predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.

getContext(int, String[], String[], Object[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

Return the context for finding names at the specified index.

getCorpusFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getCoveredText() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

getCoveredText(CharSequence) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

getCoveredText(String[]) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

getDataSet(String, TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getDefaultFactory() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

getDefaultFactory() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

getDerivation() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the derivation string for this parse if one has been created.

getDescriptorElements(InputStream) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentGeneratorFactory

Provides a list with all the elements in the xml feature descriptor.

getDict() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

Get the Map String, String dictionary.

getDictionaries() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries

Get the list of dictionaries as HashMaps.

getDictionary() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

getDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getDictionaryResource(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Get an input stream from a resource name.

getDictMap() - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

Get the Map containing the dictionary.

getDictNames() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries

Get the dictionary names.

getDocumentAccuracy() - Method in class eus.ixa.ixa.pipe.ml.document.DocClassifierCrossValidator

Retrieves the accuracy for all iterations.

getDocumentClassificationFactory() - Method in class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

Get the features which are implemented in each of the trainers extending this class.

getDocumentClassifierModel() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

getDocumentCount() - Method in class eus.ixa.ixa.pipe.ml.document.DocClassifierCrossValidator

Retrieves the number of words which where validated over all iterations.

getDocumentCount() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEvaluator

getDocumentStream(String, String) - Static method in class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

Getting the stream with the right corpus format.

getEnd() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Return the end of a span.

getFactory() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

getFactory() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

getFeatureGenerator() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

getFeatureGenerator() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

getFilesInDir(File) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Recursively get every file in a directory and add them to a list.

getFirstSenseBilou(List<String>, Span[]) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for bilou encoding.

getFirstSenseBio(List<String>, Span[]) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Extract most frequent sense baseline from WordNet data, using Ciaramita and Altun's (2006) approach for a bio encoding.

getFivegramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator

It returns the fmeasure result.

getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator

getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

getFolds(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getFourgramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getFrontierNodes(List<Parse>, Parse[]) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Populates specified nodes array with left-most right frontier node with a unique head.

getGenerators() - Method in class eus.ixa.ixa.pipe.ml.document.features.DocumentFeatureAggregator

Retrieves a Collections of all aggregated DocumentFeatureGenerators.

getHead(Parse[], String) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

getHead(Parse[], String) - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadRules

Returns the head constituent for the specified constituents of the specified type.

getHead() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the head constituent associated with this constituent.

getHead(Parse[], String) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

getHeadIndex() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the index within a sentence of the head token for this parse.

getHeadRules() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getHeadRules(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

getHeadRulesFile(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getId() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

getIgnoreCaseDictionaries() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries

Get the lower case dictionaries.

getIndex(String) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Get the index of a certain label.

getIndex(String) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

getInitialChunks(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

getInitialChunks(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

getKnownAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

getLabel() - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

getLabel(int) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Get the category at a given index.

getLabel(int) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

getLabel() - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent

Returns the label of the constituent.

getLabel() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.

getLanguage(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLeftWindow() - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor

Get the left window feature length.

getLemmaBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLemmaBaselineFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLemmaDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLemmaDictionaryResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLemmaModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getLemmaSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

getLemmaSequencesFromSpans(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

getMap() - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster

getMaxTokenCount() - Method in class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher

Get the key,value size of the dictionary.

getMaxTokenCount() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

Get the key,value size of the dictionary.

getMFS(TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Get the MFS from a lemma#posClass entry, e.g., house#n.

getMFSFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getMFSFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getMFSRanking(String, Integer) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Get a rank of senses ordered by MFS.

getMFSResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getModel(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getMostFrequentTag(String) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary

getMultipleLemmas(String[], Span[][]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Takes a sentence with multiple tags alternatives for each word and produces a lemma for each of the word-tag combinations.

getNAFTagSet(String, String) - Static method in class eus.ixa.ixa.pipe.ml.pos.TagSetMappingsToNAF

Obtain the appropriate tagset according to language and postag.

getNames(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Dictionaries based Named Entity Detection and Classification.

getNames(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger

getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Creates a list of SequenceLabel objects from spans and tokens.

getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger

getNextPunctuationSet() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the set of punctuation parses that occur immediately after this parse.

getNextToken() - Method in class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer

Get the next token provided by yylex().

getNgramFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getNgramFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getNumberOfLabels() - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

get the number of found labels.

getNumberOfLabels() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

getNumericNames() - Method in class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer

Returns found expressions as a List of names.

getOrderedMap(String) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Get the ordered Map of most frequent senses for a lemma#pos entry.

getOrderedMap(String) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary

getOrderedSenses(List<String>, TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Look-up lemma#pos string as key in dictionary.

getOutcomePriorFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getOutputFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getParent() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the parent parse node of this constituent.

getParserChunkerModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getParserFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Get the features which are implemented in each of the trainers extending this class.

getParserTaggerModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

getParseStream(String) - Static method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Getting the stream with the right corpus format.

getPOSBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPOSDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPOSTagModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPOSTagModelFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

Get the morphological features configuration.

getPredicateContext() - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext

getPredicateContextFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPreffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPrefixBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPrefixEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPrefixes(String) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPrefixFeatureGenerator

getPrefixes(String) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

getPrefixFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPrefixFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPreviousMapFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getPreviousPunctuationSet() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the set of punctuation parses that occur immediately before this parse.

getProb() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the log of the product of the probability associated with all the decisions which formed this constituent.

getProb() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

getPunctuationTags() - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

getPunctuationTags() - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadRules

Returns the set of punctuation tags.

getPunctuationTags() - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

getResources() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

getResources() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

getResources() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

getRightWindow() - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor

Get the right window feature length.

getSentenceAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

getSentenceFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSentenceFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSentenceFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator

Get the Sequence codec.

getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Get the Sequence codec.

getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Get the Sequence codec.

getSequenceCodec(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSequenceLabelerFactory() - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Get the features which are implemented in each of the trainers extending this class.

getSequenceLabelerModel() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

getSequences() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

getSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Produce a list of the SequenceLabel objects classified by the probabilistic model.

getSequencesFromSpans(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Creates a list of SequenceLabel objects from spans and tokens.

getSequenceStream(String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Getting the stream with the right corpus format.

getSetStringFromList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

getShortestEditScript(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Get the SES required to go from a word to a lemma.

getSpan() - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent

Returns the span of the constituent.

getSpan() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the character offsets for this constituent.

getSpan() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Return the Span (or null if none).

getStart() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Return the start of a span.

getString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Return the string of the sequence (or null if none).

getStringFromTokens(String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Gets the String joined by a space of an array of tokens.

getSuffixBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuffixEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuffixes(String) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSuffixFeatureGenerator

getSuffixes(String) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

getSuffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuffixFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuffixFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuperSenseFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getSuperSenseResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getTaggerFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Get the features which are implemented in each of the trainers extending this class.

getTagNodes() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the parse nodes which are children of this node and which are pos tags.

getTags() - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule

getTagSequenceProb() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the probability associated with the pos-tag sequence assigned to this parse.

getText() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the text of the sentence over which this parse was formed.

getTokenClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getTokenClassFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getTokenFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getTokenFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getTokens() - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

getTokens() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

getTokensWithMultiWords(String[]) - Method in class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher

Get input text and join the multiwords found in the dictionary object.

getTokenValue() - Method in class eus.ixa.ixa.pipe.ml.tok.Token

getTrigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getType() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the constituent label for this node of the parse.

getType() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Return the type of the Sequence.

getType() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Retrieves the type of the span.

getTypesFromSpans(Span[], String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span

Get an array of Spans and their associated tokens and obtains an array of Strings containing the type for each Span.

getUnknownWordAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

getWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getWord2VecClusterFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

getWordAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

Retrieves the word accuracy.

getWordClass(String) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

getWordClass(String) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

getWordClasses(String, WordCluster) - Static method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses

It provides a list containing the pathLengths for a token if found in the BrownCluster Map token,BrownClass.

getWordCount() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

Retrieves the total number of words considered in the evaluation.

getWordShapeSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

H

hashCode() - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

hashCode() - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

hashCode() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

hashCode() - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

hashCode() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Generates a hash code of the current span.

hasNextToken() - Method in class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer

Check if the next token provided by yylex() is null.

HeadFinder - Interface in eus.ixa.ixa.pipe.ml.parse

HeadFinder interface.

HEADMARK - Static variable in class eus.ixa.ixa.pipe.ml.parse.CollinsHeadFinder

HeadRule - Class in eus.ixa.ixa.pipe.ml.parse

HeadRule(boolean, String[]) - Constructor for class eus.ixa.ixa.pipe.ml.parse.HeadRule

HeadRules - Interface in eus.ixa.ixa.pipe.ml.parse

Interface for encoding the head rules associated with parsing.

I

INC_NODE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The label for the top if an incomplete node.

INCOMPLETE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Outcome used when a constituent is incomplete.

indexOf(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns the index of this specified child.

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.BagOfWordsFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownBigramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocBrownTokenFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocCharacterNgramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaDictionaryFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocLemmaModelFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocOutcomePriorFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPolarityDictionaryFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPOSTagModelFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocPrefixFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSentenceFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocSuffixFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocTokenClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocumentCustomFeatureGenerator

Initialized the Document Custom Feature Generator with defined properties and loaded resources.

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.DocWord2VecClusterFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.document.features.NGramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

init(Map<String, String>, FeatureGeneratorResourceProvider) - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

init() - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

INITIAL_PUNCT - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Initial punctuation in unicode.

insert(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Inserts the specified constituent into this parse based on its text span.This method assumes that the specified constituent can be inserted into this parse.

instantiateSequenceCodec(String) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

intersects(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns true if the specified span intersects with this span.

invertSingleAsciiQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

IOUtils - Class in eus.ixa.ixa.pipe.ml.utils

Utility functions to read and save ObjectStreams.

isBagOfWordsFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isBigramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isBrownFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isCharNgramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isChunk(boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

isChunk() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

isChunkBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isClarkFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isClearAdaptiveDataSet() - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

isClearAdaptiveDataSet() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

isDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isFivegramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isFlat() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Returns true if this constituent contains no sub-constituents.

isFourgramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isLeftToRight() - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule

isLemmaBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isLemmaDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isLemmaModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isMFSFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

Check if mfs features are active.

isNgramFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isOutcomePriorFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isPOSBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

Check if POS Baseline features are active.

isPOSDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isPosTag() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Indicates whether this parse node is a pos-tag.

isPOSTagModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isPredicateContextFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isPrefixFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isPreviousMapFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isSentenceFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isSuffixFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

Check if supersense tagger features are active.

isTokenClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isTokenFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isTrigramClassFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isWord2VecClusterFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

isWordShapeSuperSenseFeature(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

L

labelGaps(Stack<Constituent>) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

labelGaps(Stack<Constituent>) - Method in interface eus.ixa.ixa.pipe.ml.parse.GapLabeler

Labels the constituents found in the stack with gap labels if appropriate.

labelGaps(Stack<Constituent>) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

langException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

LAST - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

lastChild(Parse, Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

Returns true if the specified child is the last child of the specified parent.

lastChild(Parse, Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

Returns true if the specified child is the last child of the specified parent.

lastPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

leftDoubleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

leftSingleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

LemmaBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features

Implements a Baseline Feature Generator for Statistical Lemmatization.

LemmaBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

LemmaDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generate lemma features from a dictionary as feature of the current token.

LemmaDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

LemmaModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

This feature generator can also be placed in a sliding window.

LemmaModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

lemmatize(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer

lemmatize(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource

Lemmatize the current sentence.

LemmatizerFormat - Class in eus.ixa.ixa.pipe.ml.formats

2 fields in tabulated format: word\tabclass\n.

LemmatizerFormat(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat

Construct a Sequence Stream from a language and a ObjectStream.

LemmatizerFormat(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat

Construct a Sequence Stream from a language and an input stream.

lemmatizeToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

length() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns the length of this span.

levenshteinDistance(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Computes the Levenshtein distance of two strings in a matrix.

LINE_BREAK - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

The constant representing every line break in the original input text.

lineBreak - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Line break pattern.

loadDocumentResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentModelResources

Load the external resources such as gazetters and clustering lexicons.

LoadModelResources - Class in eus.ixa.ixa.pipe.ml.resources

loadParseResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentModelResources

Load the external resources such as gazetters and clustering lexicons.

loadParseResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources

Load the external resources such as gazetters and clustering lexicons.

loadResource(String, Map<String, ArtifactSerializer>, String, Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocumentModelResources

Load a resource by resourceId.

loadResource(String, Map<String, ArtifactSerializer>, String, Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources

Load a resource by resourceId.

loadSequenceResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources

Load the external resources such as gazetters and clustering lexicons.

loadTrainingParameters(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Load the parameters in the TrainingParameters file.

longDash - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

lookup(String) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

Look up a string in the dictionary.

lookupToken(String) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster

M

main(String[]) - Static method in class eus.ixa.ixa.pipe.ml.CLI

Main entry point of ixa-pipe-ml.

main(String[]) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator

Main method to show the example of running the evaluator.

mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

MFSFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generate pos tag, pos tag class, lemma and most frequent sense as feature of the current token.

MFSFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

MFSResource - Class in eus.ixa.ixa.pipe.ml.resources

Reads wordnet lexicons formated as house#n\t1092#noun.artifact in a serialized ListMultimap object to search for most frequent senses.

MFSResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.MFSResource

Build the MFS Dictionary.

MFSResource.MFSResourceSerializer - Class in eus.ixa.ixa.pipe.ml.resources

MFSResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.MFSResource.MFSResourceSerializer

missclassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

missclassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

missclassified(SequenceLabelSample, SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluationErrorListener

model - Variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

modelException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

MorfologikLemmatizer - Class in eus.ixa.ixa.pipe.ml.lemma

Lemmatizer based on Morfologik Stemming library.

MorfologikLemmatizer(URL) - Constructor for class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer

Reads a dictionary in morfologik FSA format.

MorfologikTagger - Class in eus.ixa.ixa.pipe.ml.pos

POS tagger based on Morfologik Stemming library.

MorfologikTagger(URL, String) - Constructor for class eus.ixa.ixa.pipe.ml.pos.MorfologikTagger

Reads a dictionary in morfologik FSA format.

multiDots - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Multidots.

multiDotsParaStarters - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Multi-dots, paragraph mark, sentence starters and uppercase.

multiDotsSpaceStarters - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Multi-dots, space, sentence starters and uppercase.

MultiWordMatcher - Class in eus.ixa.ixa.pipe.ml.pos

Reads a dictionary multiword\tmultiwordlemma\tpostag\tambiguity and matches the multiwords for each sentence.

MultiWordMatcher(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher

Construct a multiword dictionary matcher.

multiWordsToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher

Detects multiword expressions ignoring case.

N

nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Detects Named Entities in a Dictionaries by NE type ignoring case.

nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger

nercToSpansExact(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger

Detects Named Entities in a Dictionaries by NE type This method is case sensitive.

NEXT_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

nextCandidateWord - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Next word wrt to the candidate to indicate sentence breaker.

NGramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.document.features

Generates ngram features for a document.

NGramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.document.features.NGramFeatureGenerator

noAlphaAposNoAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

No alphabetic apostrophe and no alphabetic.

noAlphaDigitAposAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Non alpha, digit, apostrophe and alpha.

noDigitComma - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

No digit comma.

noDigitCommaDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Non digit comma and digit.

NON_BREAKER_DIGITS - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Do not split dot after these words if followed by number.

NonPeriodBreaker - Class in eus.ixa.ixa.pipe.ml.tok

This class implements exceptions for periods as sentence breakers and tokens.

NonPeriodBreaker(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

This constructor reads some non breaking prefixes files in resources to create exceptions of segmentation and tokenization.

nonSegmentedWords - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Non segmented words, candidates for sentence breaking.

noPeriodSpaceEnd - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Non-period end of sentence markers (?!), one or more spaces, sentence starters.

normalize(String) - Static method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

Normalize upper case, lower case, digits and duplicate characters.

normalizeDoubleQuotes(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer

Normalizes double and ambiguous quotes according to language and corpus.

normalizeLexiconName(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Remove punctuation.

normalizeQuotes(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer

Normalizes non-ambiguous quotes according to language and corpus.

Normalizer - Class in eus.ixa.ixa.pipe.ml.tok

Normalizer class for converting punctuation mostly following various corpora conventions such as Penn TreeBank, Ancora, Tutpenn, Tiger and CTAG.

normalizeTokens(List<List<Token>>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Set as value of the token its normalized counterpart.

numbers - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Do not segment numbers like 11.1.

NumericNameLexer - Class in eus.ixa.ixa.pipe.ml.lexer

NumericNameLexer is based on the NumericLexer class.

NumericNameLexer(BufferedReader, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer

Construct a new NumericNameLexer.

NumericNERTagger - Class in eus.ixa.ixa.pipe.ml.nerc

NumericNERTagger(BufferedReader, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger

O

oneFourth - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

oneHalf - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

oneThird - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

openFromFile(File) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Open file to an input stream.

OTHER - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

OTHER - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

otherPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

OUTCOME_PRIOR_FEATURE - Static variable in class eus.ixa.ixa.pipe.ml.document.features.DocOutcomePriorFeatureGenerator

OUTCOME_PRIOR_FEATURE - Static variable in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

OutcomePriorFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

The definition feature maps the underlying distribution of outcomes.

OutcomePriorFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

P

PARAGRAPH - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Constant representing a paragraph (a doubleLine) in the original input text.

paragraph - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Paragraph pattern.

Parse - Class in eus.ixa.ixa.pipe.ml.parse

Data structure for holding parse constituents.

Parse(String, Span, String, double, int) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Parse

Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head index.

Parse(String, Span, String, double, Parse) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Parse

Creates a new parse node for this specified text and span of the specified type with the specified probability and the specified head and head index.

parse(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

parse(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

parse(String, boolean) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

parse(String, String, boolean) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

parseLine(String, ShiftReduceParser, int) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

parseParse(String) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Parses the specified tree-bank style parse string and return a Parse structure for that string.

parseParse(String, GapLabeler) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Parses the specified tree-bank style parse string and return a Parse structure for that string.

ParserEvaluate - Class in eus.ixa.ixa.pipe.ml.eval

Evaluation class mostly using ParserEvaluator.

ParserEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.ParserEvaluate

Construct an evaluator.

ParserEvaluationMonitor - Interface in eus.ixa.ixa.pipe.ml.parse

ParserEvaluator - Class in eus.ixa.ixa.pipe.ml.parse

Class for ParserEvaluator.

ParserEvaluator(ShiftReduceParser, ParserEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator

Construct a parser with some evaluation monitors.

ParserEventStream - Class in eus.ixa.ixa.pipe.ml.parse

Wrapper class for one of four parser event streams.

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, ParserFactory) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

ParserFactory - Class in eus.ixa.ixa.pipe.ml.parse

ParserFactory() - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserFactory

ParserFactory(Dictionary, Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserFactory

ParserModel - Class in eus.ixa.ixa.pipe.ml.parse

ParserModel class.

ParserModel(String, MaxentModel, MaxentModel, SequenceLabelerModel, SequenceLabelerModel, int, HeadRules, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel

ParserModel(String, MaxentModel, MaxentModel, SequenceLabelerModel, SequenceLabelerModel, int, HeadRules) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel

ParserModel(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel

ParserModel(File) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel

ParserModel(URL) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel

ParseSampleStream - Class in eus.ixa.ixa.pipe.ml.parse

ParseSampleStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParseSampleStream

ParseToCoNLL02Format - Class in eus.ixa.ixa.pipe.ml.formats

Obtains chunks from a Penn Treebank formatted parse tree and encodes them in CoNLL 2000 format.

ParseToCoNLL02Format(ObjectStream<Parse>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.ParseToCoNLL02Format

ParseToTabulatedFormat - Class in eus.ixa.ixa.pipe.ml.formats

Obtains the POS tags from a Penn Treebank formatted parse tree and encodes them in TabulatedFormat for training a POS tagger.

ParseToTabulatedFormat(ObjectStream<Parse>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.ParseToTabulatedFormat

pathLengths - Static variable in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses

PennTreebankHeadRules - Class in eus.ixa.ixa.pipe.ml.parse

Class for storing the English head rules associated with parsing.

PennTreebankHeadRules(Reader) - Constructor for class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

Creates a new set of head rules based on the specified reader.

PennTreebankHeadRules.PennTreebankHeadRulesSerializer - Class in eus.ixa.ixa.pipe.ml.parse

PennTreebankHeadRulesSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer

POSBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features

A baseline context generator for the POS Tagger.

POSBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator

POSDictionary - Class in eus.ixa.ixa.pipe.ml.resources

Class to load a serialized TabulatedFormat corpus and create an automatic dictionary from it.

POSDictionary(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.POSDictionary

POSDictionary.POSDictionarySerializer - Class in eus.ixa.ixa.pipe.ml.resources

POSDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

POSDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

POSDictionarySerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer

POSTagModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

This feature generator can also be placed in a sliding window.

POSTagModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

postProcessDuplicatedSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span

Removes spans from the preList if the span is contained in the postList.

PredicateContext - Class in eus.ixa.ixa.pipe.ml.resources

Class to load a PredicateContext resource containing predicate and window feature information about that predicate.

PredicateContext(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.PredicateContext

PredicateContext.PredicateContextSerializer - Class in eus.ixa.ixa.pipe.ml.resources

PredicateContextFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

PredicateContextFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

PredicateContextSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer

PrefixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

PrefixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

Prev2MapFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Prev2MapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator

PREV_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

PreviousMapFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

PreviousMapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator

PreviousMapTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

PreviousMapTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator

printError(Span[], Span[], T, T, String) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

printError(String, Span[], Span[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

printError(Span[], Span[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

printError(String[], String[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

printError(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter

printHeads(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.CollinsHeadFinder

printHeads(Parse) - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadFinder

Reads a Parse object and adds the heads for each constituent following some head rules.

printList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses

probs(double[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Populates the specified array with the probabilities of the last decoded sequence.

probs() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Returns an array with the probabilities of the last decoded sequence.

probs(Span[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Returns an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.

processLemmaBaselineFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

processMFSFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

processNgramRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

processPOSTagModelFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

processSample(DocSample) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEvaluator

Evaluates the given reference DocSample object.

processSample(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator

processSample(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

Evaluates the given reference SequenceLabelSample object.

processSuperSenseFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

processTokenClassFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags

production(Parse, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Generates a string representing the grammar rule production that the specified parse is starting.

pruneParse(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Prune the specified sentence parse of vacuous productions.

punct(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Creates punctuation feature for the specified punctuation at the specified index based on the punctuation mark.

punctbo(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Creates punctuation feature for the specified punctuation at the specfied index based on the punctuation's tag.

punctSet - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Set of punctuation to be used in generating features.

punctSet - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

punctSpaceMultiPunct - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

- ( C

punctSpaceUpper - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

End of sentence marker, sentence starter punctuation and upper case.

Q

qexc - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Question and exclamation marks (do not separate if multiple).

R

read() - Method in class eus.ixa.ixa.pipe.ml.document.DocSampleStream

read() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

read() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

read() - Method in class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat

read() - Method in class eus.ixa.ixa.pipe.ml.formats.ParseToCoNLL02Format

read() - Method in class eus.ixa.ixa.pipe.ml.formats.ParseToTabulatedFormat

read() - Method in class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat

read() - Method in class eus.ixa.ixa.pipe.ml.parse.ParseSampleStream

read() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

read() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream

read() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleTypeFilter

readFileIntoMarkableStreamFactory(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Read the file into an ObjectStream.

readGzipObjectFromInputStream(InputStream) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

readObjectFromInputStream(InputStream) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

readText(BufferedReader) - Static method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Reads standard input text from the BufferedReader and adds a line break mark for every line.

reduceChunks(Parse[], int, Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream

remove(int) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

replacement - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Unicode replacement character.

reset() - Method in class eus.ixa.ixa.pipe.ml.document.DocSampleStream

reset() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format

reset() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format

reset() - Method in class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat

reset() - Method in class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat

reset() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

rightDoubleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

rightSingleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

RuleBasedSegmenter - Class in eus.ixa.ixa.pipe.ml.tok

Rule based SentenceSegmenter.

RuleBasedSegmenter(String, Properties) - Constructor for class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

Construct a RuleBasedSegmenter from the original text and the properties object.

RuleBasedTokenizer - Class in eus.ixa.ixa.pipe.ml.tok

This class provides a multilingual rule based tokenizer.

RuleBasedTokenizer(String, Properties) - Constructor for class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Construct a rule based tokenizer.

rules - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream

S

scoreMap(String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Returns a map in which the key is the label name and the value is the score.

scoreMap(String[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

Returns a map in which the key is the label name and the value is the score.

segmenterExceptions(String[]) - Method in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Segment the rest of the text taking into account some exceptions for periods as sentence breakers.

segmentSentence() - Method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

segmentSentence() - Method in interface eus.ixa.ixa.pipe.ml.tok.SentenceSegmenter

SentenceFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

SentenceFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator

SentenceSegmenter - Interface in eus.ixa.ixa.pipe.ml.tok

seqToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource

Tag the current sentence.

seqToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Get array of Spans from a list of tokens.

seqToStrings(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

SequenceLabel - Class in eus.ixa.ixa.pipe.ml.sequence

A Sequence object contains a single String, a Span, a startOffset and the length of the String.

SequenceLabel() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Create a new Sequence with a null content (i.e., str).

SequenceLabel(String, String) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Create a new Sequence with the given string.

SequenceLabel(String, String, Span) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Create a new Sequence with the given string and Span.

SequenceLabel(String, String, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Creates a new Sequence with the given content.

SequenceLabel(String, String, Span, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Creates a new Sequence with the given content.

SequenceLabeler - Interface in eus.ixa.ixa.pipe.ml.sequence

The interface for sequence labelers which provide tags for a sequence of tokens.

SequenceLabelerCodec<T> - Interface in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerContextGenerator - Interface in eus.ixa.ixa.pipe.ml.sequence

Interface for generating the context for a sequence labeler by specifying a set of feature generators.

SequenceLabelerCrossValidator - Class in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerCrossValidator(String, TrainingParameters, byte[], Map<String, Object>, SequenceLabelerCodec<String>, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator

SequenceLabeler Cross Validator.

SequenceLabelerCrossValidator(String, TrainingParameters, byte[], Map<String, Object>, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator

SequenceLabelerCrossValidator(String, TrainingParameters, SequenceLabelerFactory, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator

SequenceLabelerDetailedFMeasureListener - Class in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerDetailedFMeasureListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerDetailedFMeasureListener

SequenceLabelerEvaluate - Class in eus.ixa.ixa.pipe.ml.eval

Evaluation class mostly using SequenceLabelerEvaluator.

SequenceLabelerEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate

Construct an evaluator.

SequenceLabelerEvaluationErrorListener - Class in eus.ixa.ixa.pipe.ml.sequence

A default implementation of EvaluationMonitor that prints to an output stream.

SequenceLabelerEvaluationErrorListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluationErrorListener

Creates a listener that will print to System.err

SequenceLabelerEvaluationErrorListener(OutputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluationErrorListener

Creates a listener that will print to a given OutputStream

SequenceLabelerEvaluationMonitor - Interface in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerEvaluator - Class in eus.ixa.ixa.pipe.ml.sequence

The SequenceLabelerEvaluator measures the F1 performance of the given SequenceLabeler with the provided reference SequenceLabelSamples.

SequenceLabelerEvaluator(String, SequenceLabeler, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

SequenceLabelerEvaluator(ObjectStream<SequenceLabelSample>, String, SequenceLabeler, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

SequenceLabelerEventStream - Class in eus.ixa.ixa.pipe.ml.sequence

Class for creating an event stream out of data files for training an name finder.

SequenceLabelerEventStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator, SequenceLabelerCodec<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream

Creates a new name finder event stream using the specified data stream and context generator.

SequenceLabelerEventStream(ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream

SequenceLabelerFactory - Class in eus.ixa.ixa.pipe.ml.sequence

Based on opennlp.tools.namefind.TokenNameFinderFactory.

SequenceLabelerFactory() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

Creates a SequenceLabelerFactory that provides the default implementation of the resources.

SequenceLabelerFactory(byte[], Map<String, Object>, SequenceLabelerCodec<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

SequenceLabelerME - Class in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerME(SequenceLabelerModel) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

SequenceLabelerModel - Class in eus.ixa.ixa.pipe.ml.sequence

The SequenceLabelerModel is the model used by a learnable SequenceLabeler.

SequenceLabelerModel(String, SequenceClassificationModel<String>, byte[], Map<String, Object>, Map<String, String>, SequenceLabelerCodec<String>, SequenceLabelerFactory) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceLabelerCodec<String>, SequenceLabelerFactory) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(File) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel(URL) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

SequenceLabelerModel.FeatureGeneratorCreationError - Exception in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerSequenceStream - Class in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, AdaptiveFeatureGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator, boolean, SequenceLabelerCodec<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

SequenceLabelerSequenceValidator - Class in eus.ixa.ixa.pipe.ml.sequence

SequenceLabelerSequenceValidator() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceValidator

SequenceLabelerTrainer - Class in eus.ixa.ixa.pipe.ml

Trainer based on Apache OpenNLP Machine Learning API.

SequenceLabelerTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Construct a trainer with training and test data, and with options for language, beamsize for decoding, sequence codec and corpus format (conll or opennlp).

SequenceLabelFactory - Class in eus.ixa.ixa.pipe.ml.sequence

This class provides the functionality to create SequenceLabel objects.

SequenceLabelFactory() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory

SequenceLabelSample - Class in eus.ixa.ixa.pipe.ml.sequence

Class for holding sequences for a single unit of text.

SequenceLabelSample(String, String[], Span[], String[][], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

SequenceLabelSample(String[], Span[], String[][], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

Initializes the current instance.

SequenceLabelSample(String[], Span[], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

SequenceLabelSampleDataStream - Class in eus.ixa.ixa.pipe.ml.sequence

The SequenceLabelSampleDataStream class converts tagged Strings provided by a DataStream to SequenceLabelSample objects.

SequenceLabelSampleDataStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream

SequenceLabelSampleTypeFilter - Class in eus.ixa.ixa.pipe.ml.sequence

A stream which removes Name Samples which do not have a certain type.

SequenceLabelSampleTypeFilter(String[], ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleTypeFilter

SequenceLabelSampleTypeFilter(Set<String>, ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleTypeFilter

sequenceLength() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

SequenceModelResource - Class in eus.ixa.ixa.pipe.ml.resources

This class loads a SequenceLabeler model required for the Feature Generation.

SequenceModelResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource

Construct the SequenceModelResource from the inputstream.

SequenceModelResource.SequenceModelResourceSerializer - Class in eus.ixa.ixa.pipe.ml.resources

SequenceModelResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer

serialize(DictionaryLemmatizer, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer

serialize(AncoraHeadRules, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer

serialize(Writer) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules

Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.

serialize(PennTreebankHeadRules, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer

serialize(Writer) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules

Writes the head rules to the writer in a format suitable for loading the head rules again with the constructor.

serialize(Dictionary, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary

serialize(MFSResource, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource.MFSResourceSerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource

Serialize the lexicon in the original format.

serialize(POSDictionary, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary

Serialize the dictionary.

serialize(PredicateContext, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext

Serialize the dictionary to original corpus format

serialize(SequenceModelResource, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource

Serialize this model into the overall Sequence model.

serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster

serialize(WordCluster, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster.WordClusterSerializer

setChild(int, String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Replaces the child at the specified index with a new child with the specified label.

setChunkerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

setChunkingProperties(String, String) - Method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Generate Properties object for chunking.

setDerivation(StringBuffer) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Specifies the derivation string to be associated with this parse.

setDictionary(Dictionary) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

setDocumentClassifierFactory(DocumentClassifierFactory) - Method in class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

setFromString(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Set the value from a String.

setLabel(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent

Assigns the label to the constituent.

setLabel(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Assigns this parse the specified label.

setLeftToRight(boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule

setNextPunctuation(Collection<Parse>) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Sets the set of punctuation tags which follow this parse.

setParent(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Specifies the parent parse node for this constituent.

setParents(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Assigns parent references for the specified parse so that they are consistent with the children references.

setParserFactory(ParserFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

setPOSLemmaProperties(String, String, String, String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Generate Properties object for POS tagging and Lemmatizing.

setPrevPunctuation(Collection<Parse>) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Sets the set of punctuation tags which preceed this parse.

setSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

Set the sequence codec.

setSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Set the sequence codec.

setSequenceLabelerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

setSequenceLength(int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

setSpan(Span) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Set the Span for the Name.

setStartOffset(int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

setStartOffset(int) - Method in class eus.ixa.ixa.pipe.ml.tok.Token

Set the token offset.

setTaggerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

setTags(String[]) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule

setTermTypeNAF(String) - Static method in class eus.ixa.ixa.pipe.ml.pos.TagSetMappingsToNAF

Set the term type attribute based on the pos value.

setTokenizeProperties(String, String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties

Creates the Properties object required to construct a Sentence Segmenter and a Tokenizer.

setTokenLength(int) - Method in class eus.ixa.ixa.pipe.ml.tok.Token

Set the length of the token.

setTokenValue(String) - Method in class eus.ixa.ixa.pipe.ml.tok.Token

Set the value for the token.

setType(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Set the type of this constituent to the specified type.

setType(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Set type of the Sequence.

setType(String) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

setValue(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

Set the value for the Sequence.

setWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor

Set the window length from the training parameters file.

ShiftReduceParser - Class in eus.ixa.ixa.pipe.ml.parse

Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.

ShiftReduceParser(ParserModel) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

ShiftReduceParser(ParserModel, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

ShiftReduceParser(MaxentModel, MaxentModel, SequenceLabelerME, SequenceLabelerME, HeadRules, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

Creates a new parser using the specified models and head rules using the specified beam size and advance percentage.

ShiftReduceParserTrainer - Class in eus.ixa.ixa.pipe.ml

ShiftReduceParserTrainer(TrainingParameters, TrainingParameters, TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Construct a trainer with training and test data, and with options for language, beamsize for decoding, sequence codec and corpus format.

ShiftReduceParserTrainer(TrainingParameters, TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Construct a trainer with training and test data, and with options for language, beamsize for decoding, sequence codec and corpus format (conll or opennlp).

show(StringBuffer) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Appends the specified string buffer with a string representation of this parse.

show() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Displays this parse using Penn Treebank-style formatting.

showCodeTree() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.

SimpleDictionaryTagger - Class in eus.ixa.ixa.pipe.ml.pos

POS tag by simple dictionary lookup into a hashmap built from a file containing, for each line, word\tablemma\tabpostag.

SimpleDictionaryTagger(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.pos.SimpleDictionaryTagger

Construct a hashmap from the input tab separated dictionary.

singleAsciiQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

sortedScoreMap(String[]) - Method in interface eus.ixa.ixa.pipe.ml.document.DocumentClassifier

Get a map of the scores sorted in ascending order together with their associated labels.

sortedScoreMap(String[]) - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

Returns a map with the score as a key in ascending order.

SPACE_DELIMITER - Static variable in class eus.ixa.ixa.pipe.ml.utils.IOUtils

spaceDashSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Dashes or slashes preceded or followed by space.

Span - Class in eus.ixa.ixa.pipe.ml.utils

Class for storing start and end integer offsets.

Span(int, int, String) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Initializes a new Span Object.

Span(int, int, String, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Span(int, int) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Initializes a new Span Object.

Span(int, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Span(Span, int) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Initializes a new Span object with an existing Span which is shifted by an offset.

Span(Span, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span

Creates a new immutable span based on an existing span, where the existing span did not include the prob

spansToStrings(Span[], CharSequence) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span

Converts an array of Spans to an array of Strings.

spansToStrings(Span[], String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span

specials - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Tokenize everything but these characters.

splitLine(String, char, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils

Fast line splitting with a separator, typically a tab or space character.

spuriousParagraph - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter

If paragraph mark, maybe some space and lowercase or punctuation (not start of sentence markers) then it is a spurious paragraph.

START - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

START - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BioCodec

START_TAG - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream

START_TAG_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream

startDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Starts with a digit.

startLower - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Starts with a lowercase.

startOffset() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

startOffset() - Method in class eus.ixa.ixa.pipe.ml.tok.Token

Get the token starting offset.

startPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

startPunct - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Starts with punctuation that is not beginning of sentence marker.

startsWith(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Returns true if the specified span is the begin of this span and the specified span is contained in this span.

StatisticalDocumentClassifier - Class in eus.ixa.ixa.pipe.ml

StatisticalDocumentClassifier(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

StatisticalDocumentClassifier(String, String) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalDocumentClassifier

StatisticalSequenceLabeler - Class in eus.ixa.ixa.pipe.ml

Statistical Sequence Labeling based on Apache OpenNLP Machine Learning API.

StatisticalSequenceLabeler(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Construct a probabilistic sequence labeler.

StatisticalSequenceLabeler(String, String) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Construct a StatisticalSequenceLabeler specifying the model to be used.

StatisticalSequenceLabeler(Properties, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Construct a StatisticalSequenceLabeler specifying the factory to be used.

StatisticalSequenceLabeler(String, String, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler

Construct a StatisticalSequenceLabeler specifying the model and the factory to be used.

StringUtils - Class in eus.ixa.ixa.pipe.ml.utils

Pattern matching and other utility string functions.

SuffixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

SuffixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

SuperSenseFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generates Ciaramita and Altun (2006) features for super sense tagging.

SuperSenseFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

surround(Parse, int, String, Collection<Parse>, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

Generates features for nodes surrounding a completed node of the specified type.

T

TAB_DELIMITER - Static variable in class eus.ixa.ixa.pipe.ml.utils.IOUtils

TabulatedFormat - Class in eus.ixa.ixa.pipe.ml.formats

2 fields in tabulated format: word\tabclass\n.

TabulatedFormat(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat

Construct a Sequence Stream from a language and a ObjectStream.

TabulatedFormat(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat

Construct a Sequence Stream from a language and an input stream.

tag(String) - Method in class eus.ixa.ixa.pipe.ml.polarity.DictionaryPolarityTagger

tag(String, String) - Method in interface eus.ixa.ixa.pipe.ml.pos.DictionaryTagger

Postag by dictionary lookup.

tag(String, String) - Method in class eus.ixa.ixa.pipe.ml.pos.MorfologikTagger

Get the postag for a surface form from a FSA morfologik generated dictionary.

tag(String, String) - Method in class eus.ixa.ixa.pipe.ml.pos.SimpleDictionaryTagger

tag(String[]) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabeler

Generates tags for the given sequence, typically a sentence, returning token spans for any identified sequences.

tag(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

tag(String[], String[][]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Generates sequence tags for the given sequence, returning spans for any identified sequences.

tag(int, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

Returns at most the specified number of taggings for the specified sentence.

TagSetMappingsToNAF - Class in eus.ixa.ixa.pipe.ml.pos

Mappings from POS tagsets to NAF pos attribute.

tagToStrings(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

THREE_DOTS - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

threeQuarters - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

TLD - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Top level domains for stopping the wrongLink pattern below.

TO_ASCII_SINGLE_QUOTE - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

toAsciiDoubleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

toAsciiSingleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

TOK_NODE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The label for a token node.

Token - Class in eus.ixa.ixa.pipe.ml.tok

A Token object contains a single String, a startOffset and the length of the String.

Token() - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token

Create a new token with a null content.

Token(String) - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token

Token(String, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token

Creates a new Token with the given content.

TokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generates a class name for the specified token.

TokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

TokenFactory - Class in eus.ixa.ixa.pipe.ml.tok

TokenFactory() - Constructor for class eus.ixa.ixa.pipe.ml.tok.TokenFactory

Constructor for a new token factory which will add in the word and the begin/end position annotations.

TokenFactory(boolean) - Constructor for class eus.ixa.ixa.pipe.ml.tok.TokenFactory

Constructor that allows one to choose if index annotation indicating begin/end position will be included in the token.

TokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generates a feature which contains the token itself.

TokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator

tokenize(String[]) - Method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

tokenize(String[]) - Method in interface eus.ixa.ixa.pipe.ml.tok.Tokenizer

Tokenizer - Interface in eus.ixa.ixa.pipe.ml.tok

TokenizerEvaluate - Class in eus.ixa.ixa.pipe.ml.eval

TokenizerEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.TokenizerEvaluate

TokenizerNonBreaker(String) - Method in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

It decides when periods do not need to be tokenized.

tokenLength() - Method in class eus.ixa.ixa.pipe.ml.tok.Token

Get the token length.

tokenShapeFeature(String) - Static method in class eus.ixa.ixa.pipe.ml.document.features.DocTokenClassFeatureGenerator

tokenShapeFeature(String) - Static method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

TOP_NODE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The label for the top node.

topKSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

topKSequences(String[], String[], double) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

toString() - Method in class eus.ixa.ixa.pipe.ml.document.DocSample

toString() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierEvaluator

Represents this objects as human readable String.

toString() - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

toString() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Represents this parse in a human readable way.

toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener

toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel

toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample

toString() - Method in class eus.ixa.ixa.pipe.ml.tok.Token

toString() - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Generates a human readable string.

train(String, ObjectStream<DocSample>, TrainingParameters, DocumentClassifierFactory) - Static method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierME

train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.DocumentClassifierTrainer

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters, ParserFactory, TrainingParameters, SequenceLabelerFactory, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

train(String, ObjectStream<Parse>, HeadRules, TrainingParameters, ParserFactory, SequenceLabelerModel, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

train(String, ObjectStream<SequenceLabelSample>, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer

train(TrainingParameters, TrainingParameters, TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Train a parser model from the Treebank data.

train(TrainingParameters, InputStream, TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer

Train a parser model providing an already trained POS tagger.

TrigramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Adds trigram features based on tokens and token class using TokenClassFeatureGenerator.

TrigramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator

trim(CharSequence) - Method in class eus.ixa.ixa.pipe.ml.utils.Span

Return a copy of this span with leading and trailing white spaces removed.

twoThirds - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer

U

UNIT - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec

unitPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME

unknownClarkClass - Static variable in class eus.ixa.ixa.pipe.ml.document.features.DocClarkFeatureGenerator

unknownClarkClass - Static variable in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

updateAccuracyScores(String[], Object[], Object[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator

Generates previous decision features for the token based on contents of the previous map.

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator

Generates previous decision features for the token based on contents of the previous map.

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator

Generates previous decision features for the token based on contents of the previous map.

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

updateAdaptiveData(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

updateAdaptiveData(String[], String[]) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerContextGenerator

Informs all the feature generators for a sequence labeler that the specified tokens have been classified with the corresponding set of specified outcomes.

updateBuildModel(MaxentModel) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

updateCheckModel(MaxentModel) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

updateChunkerModel(SequenceLabelerModel) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

updateContext(Sequence, AbstractModel) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream

updateHeads(HeadRules) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.

updateSpan() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse

updateTaggerModel(SequenceLabelerModel) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

useFunctionTags(boolean) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse

Specifies whether function tags should be included as part of the constituent type.

useLabel - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

V

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierFactory

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.document.DocumentClassifierModel

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel

validSequence(int, String[], String[], String) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouSequenceValidator

validSequence(int, String[], String[], String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceValidator

W

WindowFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Generates previous and next features for a given AdaptiveFeatureGenerator.

WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

Initializes the current instance with the given parameters.

WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

Initializes the current instance with the given parameters.

WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

Initializes the current instance.

WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator

Initializes the current instance with the given parameters.

Word2VecClusterFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Word2VecClusterFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator

WordCluster - Class in eus.ixa.ixa.pipe.ml.resources

Class to hold word cluster information in a Map of String.

WordCluster(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.WordCluster

WordCluster.WordClusterSerializer - Class in eus.ixa.ixa.pipe.ml.resources

WordClusterSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.WordCluster.WordClusterSerializer

wordDot - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker

Any non white space followed by a period.

WordShapeSuperSenseFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features

Ciaramita and Altun (2006) word shape features.

WordShapeSuperSenseFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator

writeClusterToFile(Map<K, V>, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

writeDictionaryLemmatizerToFile(Map<List<String>, String>, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

writeGzipObjectToStream(Object, OutputStream) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Serialized gzipped java object to an ObjectOutputStream.

writeMultimapToFile(ListMultimap<K, V>, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

writeObjectToFile(Object, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Serialize java object to a file.

writeObjectToStream(Object, OutputStream) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils

Serialize java object to an ObjectOutputStream.

wrongLink - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Detect wrongly tokenized links.

X

XMLFeatureDescriptor - Class in eus.ixa.ixa.pipe.ml.features

Class to automatically generate the feature descriptor from a trainParams.properties file.

Y

yearApos - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer

Digit apostrophe and s (for 1990's).

Z

ZERO - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser

The integer 0.

zeroBackOff - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator

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