A B C D E F G H I L M P R S T U V

A

AbstractLemmatizerTrainer - Class in eus.ixa.ixa.pipe.lemma.train

Training a Lemmatizer.

AbstractLemmatizerTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.lemma.train.AbstractLemmatizerTrainer

Construct an AbstractTrainer.

AbstractTaggerTrainer - Class in eus.ixa.ixa.pipe.pos.train

Training POS tagger with Apache OpenNLP Machine Learning API.

AbstractTaggerTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Construct an AbstractTrainer.

Annotate - Class in eus.ixa.ixa.pipe.pos

Example annotation class of ixa-pipe-pos.

Annotate(Properties) - Constructor for class eus.ixa.ixa.pipe.pos.Annotate

Construct an annotator with a MorphoFactory.

annotate(InputStream, OutputStream) - Method in class eus.ixa.ixa.pipe.pos.CLI

Main entry point for annotation.

annotatePOSToCoNLL(KAFDocument) - Method in class eus.ixa.ixa.pipe.pos.Annotate

Annotate morphological information in tabulated CoNLL-style format.

annotatePOSToKAF(KAFDocument) - Method in class eus.ixa.ixa.pipe.pos.Annotate

Annotate morphological information into a NAF document.

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

Lookup lemma in a dictionary.

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

Looks-up the lemma in a dictionary.

B

BaselineContextGenerator - Class in eus.ixa.ixa.pipe.pos.train

An improved context generator for the POS Tagger.

BaselineContextGenerator(Dictionary) - Constructor for class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

Initializes the current instance.

BaselineContextGenerator(int, Dictionary) - Constructor for class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

Initializes the current instance.

BaselineFactory - Class in eus.ixa.ixa.pipe.pos.train

Extends the POSTagger Factory.

BaselineFactory() - Constructor for class eus.ixa.ixa.pipe.pos.train.BaselineFactory

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

BaselineFactory(Dictionary, TagDictionary) - Constructor for class eus.ixa.ixa.pipe.pos.train.BaselineFactory

Creates a POSTaggerFactory.

beamSize - Variable in class eus.ixa.ixa.pipe.lemma.LemmatizerME

C

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

Main class of ixa-pipe-pos, the pos tagger of ixa-pipes (ixa2.si.ehu.es/ixa-pipes).

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

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

client(InputStream, OutputStream) - Method in class eus.ixa.ixa.pipe.pos.CLI

The client to query the TCP server for annotation.

close() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleSequenceStream

componentException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

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

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

corpusFormatException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

create(String) - Static method in class eus.ixa.ixa.pipe.lemma.LemmatizerFactory

createAutomaticDictionary(ObjectStream<POSSample>, int) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Automatically create a tag dictionary from training data.

createEvents(LemmaSample) - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleEventStream

createMorpheme(String, String) - Method in class eus.ixa.ixa.pipe.pos.MorphoFactory

Construct morpheme object with word and morphological tag.

createMorpheme(String, String, String) - Method in class eus.ixa.ixa.pipe.pos.MorphoFactory

Construct morpheme object with word, tag and lemma.

createNgramDictionary(ObjectStream<POSSample>, int) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Create ngram dictionary from training data.

createTagDictionary(String) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Create a tag dictionary with the dictionary contained in the dictPath.

crossValidate() - Method in class eus.ixa.ixa.pipe.pos.CLI

Main access to the cross validation.

crossValidate(TrainingParameters) - Method in class eus.ixa.ixa.pipe.pos.eval.POSCrossValidator

Cross validate when no separate testset is available.

D

datasetException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

decodeLemmas(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

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

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

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

DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.lemma.LemmatizerME

DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.pos.CLI

Default beam size for decoding.

DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

Default beam size for decoding.

DEFAULT_DICT_CUTOFF - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_DICT_PATH - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_EVAL_FORMAT - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_EVALUATE_MODEL - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_FEATURESET_FLAG - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_FOLDS_VALUE - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_HOSTNAME - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_OUTPUT_FORMAT - Static variable in class eus.ixa.ixa.pipe.pos.train.Flags

DEFAULT_TYPE - Static variable in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

DefaultLemmatizerContextGenerator - Class in eus.ixa.ixa.pipe.lemma

Simple feature generator for learning statistical lemmatizers.

DefaultLemmatizerContextGenerator() - Constructor for class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerContextGenerator

DefaultLemmatizerSequenceValidator - Class in eus.ixa.ixa.pipe.lemma

DefaultLemmatizerSequenceValidator() - Constructor for class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerSequenceValidator

detailEvaluate() - Method in class eus.ixa.ixa.pipe.lemma.eval.LemmaEvaluate

detailEvaluate() - Method in interface eus.ixa.ixa.pipe.pos.eval.Evaluate

detailEvaluate() - Method in class eus.ixa.ixa.pipe.pos.eval.POSEvaluate

Detail evaluation of a model, outputting the report a file.

dictionaryException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

dictionaryFeaturesException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

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

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

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

Construct a hashmap from the input tab separated dictionary.

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

Interface of the pos tagger based on Dictionary lookup.

E

equals(Object) - Method in class eus.ixa.ixa.pipe.lemma.LemmaSample

equals(Object) - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

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

eus.ixa.ixa.pipe.lemma.dict - package eus.ixa.ixa.pipe.lemma.dict

Package containing the Dictionary lemmatizer classes.

eus.ixa.ixa.pipe.lemma.eval - package eus.ixa.ixa.pipe.lemma.eval

The lemmatizer evaluator.

eus.ixa.ixa.pipe.lemma.train - package eus.ixa.ixa.pipe.lemma.train

Package containing the Statistical lemmatizer classes.

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

Package containing the Main ixa-pipe-pos annotation classes.

eus.ixa.ixa.pipe.pos.dict - package eus.ixa.ixa.pipe.pos.dict

Package containing the Dictionary tagger classes.

eus.ixa.ixa.pipe.pos.eval - package eus.ixa.ixa.pipe.pos.eval

Package containing the evaluation package of ixa-pipe-pos.

eus.ixa.ixa.pipe.pos.train - package eus.ixa.ixa.pipe.pos.train

Package containing the MorphoTagger Trainer classes.

eval() - Method in class eus.ixa.ixa.pipe.pos.CLI

Main entry point for evaluation.

evalError() - Method in class eus.ixa.ixa.pipe.lemma.eval.LemmaEvaluate

evalError() - Method in interface eus.ixa.ixa.pipe.pos.eval.Evaluate

evalError() - Method in class eus.ixa.ixa.pipe.pos.eval.POSEvaluate

Evaluate and print every error.

evaluate() - Method in class eus.ixa.ixa.pipe.lemma.eval.LemmaEvaluate

Evaluate and print word accuracy.

Evaluate - Interface in eus.ixa.ixa.pipe.pos.eval

evaluate() - Method in interface eus.ixa.ixa.pipe.pos.eval.Evaluate

Evaluate the model.

evaluate() - Method in class eus.ixa.ixa.pipe.pos.eval.POSEvaluate

Evaluate word accuracy.

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

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

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

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

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

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

F

FixedTrainer - Class in eus.ixa.ixa.pipe.pos.train

FixedTrainer to train the pos tagger.

FixedTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.pos.train.FixedTrainer

Extends the AbstractTrainer providing some POSTaggerFactory .

Flags - Class in eus.ixa.ixa.pipe.pos.train

G

getAutoDictFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getBeamsize(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getBinaryDict(String) - Method in class eus.ixa.ixa.pipe.pos.Resources

The the dictionary for the MorfologikLemmatizer.

getBinaryTaggerDict(String) - Method in class eus.ixa.ixa.pipe.pos.Resources

The the dictionary for the MorfologikMorphoTagger.

getComponent(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getContext(int, String[], String[], Object[]) - Method in class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerContextGenerator

getContext(int, String[], String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerContextGenerator

getContext(int, String[], String[], String[]) - Method in interface eus.ixa.ixa.pipe.lemma.LemmatizerContextGenerator

Returns the contexts for lemmatizing of the specified index.

getContext(int, String[], String[], Object[]) - Method in class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

getContext(int, Object[], String[]) - Method in class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

Returns the context for making a pos tag decision at the specified token index given the specified tokens and previous tags.

getContextGenerator() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerFactory

getCorpusFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

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

getDefaultFactory() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerModel

getDictCutOff() - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Get the cutoff to create automatic dictionary from training data.

getDictionary(String) - Method in class eus.ixa.ixa.pipe.pos.Resources

Get the dictionary for the SimpleLemmatizer.

getDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

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

Get the Map containing the dictionary.

getDictSamples() - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Get the dictSamples to automatically create tag dictionary.

getFactory() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerModel

getFeatureSet(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

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

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

getFolds(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getId() - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

getKafTagSet(String, String) - Static method in class eus.ixa.ixa.pipe.pos.Resources

Obtain the appropriate tagset according to language and postag.

getLanguage(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getLemma() - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Get the lemma.

getLemmas() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSample

getLemmatizerFactory() - Method in class eus.ixa.ixa.pipe.lemma.train.AbstractLemmatizerTrainer

Get the lemmatizerFactory.

getLemmatizerSequenceModel() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerModel

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

Get the key,value size of the dictionary.

getModel(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getMorphemes(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.StatisticalLemmatizer

Get lemmas from a tokenized and pos tagged sentence.

getMorphemes(String[]) - Method in class eus.ixa.ixa.pipe.pos.StatisticalTagger

Get morphological analysis from a tokenized sentence.

getMorphemesFromStrings(String[], String[], List<String>) - Method in class eus.ixa.ixa.pipe.lemma.StatisticalLemmatizer

Create Morpheme objects from the output of posAnnotate.

getMorphemesFromStrings(List<String>, String[]) - Method in class eus.ixa.ixa.pipe.pos.StatisticalTagger

Create Morpheme objects from the output of posAnnotate.

getNames() - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

getNgramDictCutOff() - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Get the cutoff to create automatic ngram dictionary from training data.

getNgramDictFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

getPOSContextGenerator() - Method in class eus.ixa.ixa.pipe.pos.train.BaselineFactory

getPOSContextGenerator(int) - Method in class eus.ixa.ixa.pipe.pos.train.BaselineFactory

getPosTaggerFactory() - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Get the posTaggerFactory.

getPrefixes(String) - Static method in class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerContextGenerator

getPrefixes(String) - Static method in class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

Obtain prefixes for each token.

getSentence() - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

getSequenceValidator() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerFactory

getShortestEditScript(String, String) - Static method in class eus.ixa.ixa.pipe.pos.StringUtils

Get the SES required to go from a word to a lemma.

getStringFromSpan(Span, String[]) - Static method in class eus.ixa.ixa.pipe.pos.StringUtils

It takes a NE span indexes and the tokens in a sentence and produces the string to which the NE span corresponds to.

getStringFromTokens(String[]) - Static method in class eus.ixa.ixa.pipe.pos.StringUtils

Gets the String joined by a space of an array of tokens.

getSuffixes(String) - Static method in class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerContextGenerator

getSuffixes(String) - Static method in class eus.ixa.ixa.pipe.pos.train.BaselineContextGenerator

Obtain suffixes for each token.

getTag() - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Get the morphological tag.

getTags() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSample

getTokens() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSample

getTokensWithMultiWords(String[]) - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordMatcher

Get input text and join the multiwords found in the dictionary object.

getWord() - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Get the word.

getWordAccuracy() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerEvaluator

Retrieves the word accuracy.

getWordCount() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerEvaluator

Retrieves the total number of words considered in the evaluation.

H

hashCode() - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

I

InputOutputUtils - Class in eus.ixa.ixa.pipe.pos.train

Utility functions to read and save ObjectStreams.

isDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

L

langException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

LemmaEvaluate - Class in eus.ixa.ixa.pipe.lemma.eval

Evaluation class.

LemmaEvaluate(String, String) - Constructor for class eus.ixa.ixa.pipe.lemma.eval.LemmaEvaluate

Construct an evaluator.

LemmaSample - Class in eus.ixa.ixa.pipe.lemma

Represents an lemmatized sentence.

LemmaSample(String[], String[], String[]) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmaSample

Represents one lemma sample.

LemmaSample(List<String>, List<String>, List<String>) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmaSample

LemmaSampleEventStream - Class in eus.ixa.ixa.pipe.lemma

Class for creating an event stream out of data files for training a probabilistic lemmatizer.

LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmaSampleEventStream

Creates a new event stream based on the specified data stream using the specified context generator.

LemmaSampleSequenceStream - Class in eus.ixa.ixa.pipe.lemma

LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmaSampleSequenceStream

LemmaSampleStream - Class in eus.ixa.ixa.pipe.lemma

Reads data for training and testing.

LemmaSampleStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmaSampleStream

lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.dict.DictionaryLemmatizer

lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.dict.MorfologikLemmatizer

lemmatize(String[], String[]) - Method in interface eus.ixa.ixa.pipe.lemma.Lemmatizer

Generates lemma tags for the word and postag returning the result in an array.

lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.StatisticalLemmatizer

Produce lemmas from a tokenized sentence and its postags.

Lemmatizer - Interface in eus.ixa.ixa.pipe.lemma

The interface for lemmatizers.

LemmatizerContextGenerator - Interface in eus.ixa.ixa.pipe.lemma

Interface for the context generator used for probabilistic lemmatizer.

LemmatizerEvaluationMonitor - Interface in eus.ixa.ixa.pipe.lemma

LemmatizerEvaluator - Class in eus.ixa.ixa.pipe.lemma

The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference LemmaSamples.

LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerEvaluator

Initializes the current instance.

LemmatizerFactory - Class in eus.ixa.ixa.pipe.lemma

LemmatizerFactory() - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerFactory

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

LemmatizerFixedTrainer - Class in eus.ixa.ixa.pipe.lemma.train

FixedTrainer to train the lemmatizer.

LemmatizerFixedTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.lemma.train.LemmatizerFixedTrainer

Extends the AbstractLemmatizerTrainer providing some LemmatizerFactory .

LemmatizerME - Class in eus.ixa.ixa.pipe.lemma

A probabilistic lemmatizer.

LemmatizerME(LemmatizerModel) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerME

Initializes the current instance with the provided model and the default beam size of 3.

LemmatizerModel - Class in eus.ixa.ixa.pipe.lemma

The LemmatizerModel is the model used by a learnable Lemmatizer.

LemmatizerModel(String, SequenceClassificationModel<String>, Map<String, String>, LemmatizerFactory) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

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

LemmatizerModel(File) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

LemmatizerModel(URL) - Constructor for class eus.ixa.ixa.pipe.lemma.LemmatizerModel

LemmatizerTrainer - Interface in eus.ixa.ixa.pipe.lemma.train

Interface for lemmatizer trainers.

levenshteinDistance(String, String) - Static method in class eus.ixa.ixa.pipe.pos.StringUtils

Computes the Levenshtein distance of two strings in a matrix.

loadTrainingParameters(String) - Static method in class eus.ixa.ixa.pipe.pos.train.InputOutputUtils

Load the parameters in the TrainingParameters file.

M

main(String[]) - Static method in class eus.ixa.ixa.pipe.pos.CLI

The main method to process the CLI.

modelException() - Static method in class eus.ixa.ixa.pipe.pos.train.Flags

MorfologikLemmatizer - Class in eus.ixa.ixa.pipe.lemma.dict

Lemmatizer based on Morfologik Stemming library.

MorfologikLemmatizer(URL) - Constructor for class eus.ixa.ixa.pipe.lemma.dict.MorfologikLemmatizer

Reads a dictionary in morfologik FSA format.

MorfologikTagger - Class in eus.ixa.ixa.pipe.pos.dict

POS tagger based on Morfologik Stemming library.

MorfologikTagger(URL, String) - Constructor for class eus.ixa.ixa.pipe.pos.dict.MorfologikTagger

Reads a dictionary in morfologik FSA format.

Morpheme - Class in eus.ixa.ixa.pipe.pos

Class for objects containing morphological information.

Morpheme() - Constructor for class eus.ixa.ixa.pipe.pos.Morpheme

Create a new Morpheme with a null content (i.e., word).

Morpheme(String, String) - Constructor for class eus.ixa.ixa.pipe.pos.Morpheme

Construct a morpheme object.

Morpheme(String, String, String) - Constructor for class eus.ixa.ixa.pipe.pos.Morpheme

Construct a morpheme object with lemma.

MorphoFactory - Class in eus.ixa.ixa.pipe.pos

Class for creating Morpheme objects.

MorphoFactory() - Constructor for class eus.ixa.ixa.pipe.pos.MorphoFactory

MorphoSampleStream - Class in eus.ixa.ixa.pipe.pos

A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects.

MorphoSampleStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.pos.MorphoSampleStream

MultiWordMatcher - Class in eus.ixa.ixa.pipe.pos.dict

Reads a dictionary multiword\tmultiwordlemma\tpostag\tambiguity and matches the multiwords for each sentence.

MultiWordMatcher(Properties) - Constructor for class eus.ixa.ixa.pipe.pos.dict.MultiWordMatcher

Construct a multiword matcher with a dictionary for a given language.

MultiWordSample - Class in eus.ixa.ixa.pipe.pos.dict

Class for holding multiwords for a sentence.

MultiWordSample(String, String[], Span[]) - Constructor for class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

MultiWordSample(String[], Span[]) - Constructor for class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

multiWordsToSpans(String[]) - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordMatcher

Detects multiword expressions ignoring case.

P

parseCLI(String[]) - Method in class eus.ixa.ixa.pipe.pos.CLI

Parse the command line options.

posAnnotate(String[]) - Method in class eus.ixa.ixa.pipe.pos.StatisticalTagger

Produce postags from a tokenized sentence.

POSCrossValidator - Class in eus.ixa.ixa.pipe.pos.eval

Training POS tagger with Apache OpenNLP Machine Learning API via cross validation.

POSCrossValidator(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.pos.eval.POSCrossValidator

Construct a CrossValidator.

POSEvaluate - Class in eus.ixa.ixa.pipe.pos.eval

Evaluation class mostly inspired by POSEvaluator.

POSEvaluate(String, String) - Constructor for class eus.ixa.ixa.pipe.pos.eval.POSEvaluate

Construct an evaluator.

probs(double[]) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

Populates the specified array with the probabilities of the last decoded sequence.

probs() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

Returns an array with the probabilities of the last decoded sequence.

processSample(LemmaSample) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerEvaluator

Evaluates the given reference LemmaSample object.

R

read() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleSequenceStream

read() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleStream

read() - Method in class eus.ixa.ixa.pipe.pos.MorphoSampleStream

Parses the next sentence and return the next POSSample object.

readFileIntoMarkableStreamFactory(String) - Static method in class eus.ixa.ixa.pipe.pos.train.InputOutputUtils

Read the file into an ObjectStream.

reset() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleSequenceStream

Resources - Class in eus.ixa.ixa.pipe.pos

Class to load the appropriate lemmatization dictionaries according to the input language.

Resources() - Constructor for class eus.ixa.ixa.pipe.pos.Resources

S

server() - Method in class eus.ixa.ixa.pipe.pos.CLI

Set up the TCP socket for annotation.

setDictSamples(MorphoSampleStream) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Set the dictSamples to automatically create tag dictionary.

setLemma(String) - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Set the lemma.

setLemmatizerFactory(LemmatizerFactory) - Method in class eus.ixa.ixa.pipe.lemma.train.AbstractLemmatizerTrainer

Set/implement the lemmatizerFactory to be used in the lemmatizer training.

setPosTaggerFactory(POSTaggerFactory) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

Set/implement the posTaggerFactory to be used in the pos tagger training.

setTag(String) - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Set the morphological tag.

setTermType(String) - Static method in class eus.ixa.ixa.pipe.pos.Resources

Set the term type attribute based on the pos value.

setValue(String) - Method in class eus.ixa.ixa.pipe.pos.Morpheme

Set the value of the word.

SimpleTagger - Class in eus.ixa.ixa.pipe.pos.dict

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

SimpleTagger(InputStream, String) - Constructor for class eus.ixa.ixa.pipe.pos.dict.SimpleTagger

Construct a hashmap from the input tab separated dictionary.

StatisticalLemmatizer - Class in eus.ixa.ixa.pipe.lemma

Probabilistic lemmatizer.

StatisticalLemmatizer(Properties) - Constructor for class eus.ixa.ixa.pipe.lemma.StatisticalLemmatizer

Construct a statistical lemmatizer.

StatisticalLemmatizer(Properties, MorphoFactory) - Constructor for class eus.ixa.ixa.pipe.lemma.StatisticalLemmatizer

Construct a statistical lemmatizer with MorphoFactory.

StatisticalTagger - Class in eus.ixa.ixa.pipe.pos

POS tagging module based on Apache OpenNLP machine learning API.

StatisticalTagger(Properties) - Constructor for class eus.ixa.ixa.pipe.pos.StatisticalTagger

Construct a morphotagger.

StatisticalTagger(Properties, MorphoFactory) - Constructor for class eus.ixa.ixa.pipe.pos.StatisticalTagger

Construct a morphotagger with MorphoFactory.

StatisticalTaggerServer - Class in eus.ixa.ixa.pipe.pos

StatisticalTaggerServer(Properties) - Constructor for class eus.ixa.ixa.pipe.pos.StatisticalTaggerServer

Construct a MorphoTagger server.

StringUtils - Class in eus.ixa.ixa.pipe.pos

Pattern matching and other utility string functions.

T

tag(String, String) - Method in interface eus.ixa.ixa.pipe.pos.dict.DictionaryTagger

Postag by dictionary lookup.

tag(String, String) - Method in class eus.ixa.ixa.pipe.pos.dict.MorfologikTagger

Get the postag for a surface form from a FSA morfologik generated dictionary.

tag(String, String) - Method in class eus.ixa.ixa.pipe.pos.dict.SimpleTagger

TaggerTrainer - Interface in eus.ixa.ixa.pipe.pos.train

Interface for pos tagger trainers.

topKLemmaClasses(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

topKLemmaClasses(String[], String[], double) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

topKSequences(String[], String[]) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

topKSequences(String[], String[], double) - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

toString() - Method in class eus.ixa.ixa.pipe.lemma.LemmaSample

toString() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerEvaluator

Represents this objects as human readable String.

toString() - Method in class eus.ixa.ixa.pipe.pos.dict.MultiWordSample

train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class eus.ixa.ixa.pipe.lemma.LemmatizerME

train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.lemma.train.AbstractLemmatizerTrainer

train(TrainingParameters) - Method in interface eus.ixa.ixa.pipe.lemma.train.LemmatizerTrainer

Train a lemmatizer model with a parameters file.

train() - Method in class eus.ixa.ixa.pipe.pos.CLI

Main entry point for training.

train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.pos.train.AbstractTaggerTrainer

train(TrainingParameters) - Method in interface eus.ixa.ixa.pipe.pos.train.TaggerTrainer

Train a pos model with a parameters file.

U

updateContext(Sequence, AbstractModel) - Method in class eus.ixa.ixa.pipe.lemma.LemmaSampleSequenceStream

V

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerFactory

validateArtifactMap() - Method in class eus.ixa.ixa.pipe.lemma.LemmatizerModel

validSequence(int, String[], String[], String) - Method in class eus.ixa.ixa.pipe.lemma.DefaultLemmatizerSequenceValidator

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