opennlp.tools.parser.chunking

Class Parser

java.lang.Object

opennlp.tools.parser.AbstractBottomUpParser

opennlp.tools.parser.chunking.Parser

All Implemented Interfaces:

Parser

public class Parser
extends AbstractBottomUpParser

Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.

Field Summary

Fields inherited from class opennlp.tools.parser.AbstractBottomUpParser

chunker, COMPLETE, completeParses, CONT, createDerivationString, debugOn, defaultAdvancePercentage, defaultBeamSize, headRules, INC_NODE, INCOMPLETE, K, M, ndh, odh, OTHER, punctSet, Q, reportFailedParse, START, tagger, TOK_NODE, TOP_NODE, ZERO

Constructor Summary

Constructors

Constructor and Description
Parser(MaxentModel buildModel, MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules) Deprecated.
Parser(MaxentModel buildModel, MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules, int beamSize, double advancePercentage) Deprecated.
Parser(ParserModel model)
Parser(ParserModel model, int beamSize, double advancePercentage)

Method Summary

Modifier and Type	Method and Description
protected Parse[]	advanceParses(Parse p, double probMass) Advances the specified parse and returns the an array advanced parses whose probability accounts for more than the specified amount of probability mass.
protected void	advanceTop(Parse p) Adds the "TOP" node to the specified parse.
static void	mergeReportIntoManifest(Map<String,String> manifest, Map<String,String> report, String namespace)
static AbstractModel	train(EventStream es, int iterations, int cut) Deprecated. Please do not use anymore, use the ObjectStream train methods instead! This method will be removed soon.
static ParserModel	train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cut) Deprecated. use train(String, ObjectStream, HeadRules, TrainingParameters) instead and pass in a TrainingParameters object.
static ParserModel	train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams)

Methods inherited from class opennlp.tools.parser.AbstractBottomUpParser

advanceChunks, advanceTags, buildDictionary, buildDictionary, collapsePunctuation, mapParseIndex, parse, parse, setErrorReporting, setParents

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Parser

public Parser(ParserModel model,
              int beamSize,
              double advancePercentage)

Parser

public Parser(ParserModel model)

Parser

@Deprecated
public Parser(MaxentModel buildModel,
                          MaxentModel checkModel,
                          POSTagger tagger,
                          Chunker chunker,
                          HeadRules headRules)

Deprecated.

Creates a new parser using the specified models and head rules.

Parameters:

buildModel - The model to assign constituent labels.

checkModel - The model to determine a constituent is complete.

tagger - The model to assign pos-tags.

chunker - The model to assign flat constituent labels.

headRules - The head rules for head word perculation.

Parser

@Deprecated
public Parser(MaxentModel buildModel,
                          MaxentModel checkModel,
                          POSTagger tagger,
                          Chunker chunker,
                          HeadRules headRules,
                          int beamSize,
                          double advancePercentage)

Deprecated.

Creates a new parser using the specified models and head rules using the specified beam size and advance percentage.

Parameters:

buildModel - The model to assign constituent labels.

checkModel - The model to determine a constituent is complete.

tagger - The model to assign pos-tags.

chunker - The model to assign flat constituent labels.

headRules - The head rules for head word perculation.

beamSize - The number of different parses kept during parsing.

advancePercentage - The minimal amount of probability mass which advanced outcomes must represent. Only outcomes which contribute to the top "advancePercentage" will be explored.

Method Detail

advanceTop

protected void advanceTop(Parse p)

Description copied from class: AbstractBottomUpParser

Adds the "TOP" node to the specified parse.

Specified by:

advanceTop in class AbstractBottomUpParser

Parameters:

p - The complete parse.

advanceParses

protected Parse[] advanceParses(Parse p,
                                double probMass)

Description copied from class: AbstractBottomUpParser

Advances the specified parse and returns the an array advanced parses whose probability accounts for more than the specified amount of probability mass.

Specified by:

advanceParses in class AbstractBottomUpParser

Parameters:

p - The parse to advance.

probMass - The amount of probability mass that should be accounted for by the advanced parses.

train

@Deprecated
public static AbstractModel train(EventStream es,
                                              int iterations,
                                              int cut)
                                       throws IOException

Deprecated. Please do not use anymore, use the ObjectStream train methods instead! This method will be removed soon.

Throws:

IOException

mergeReportIntoManifest

public static void mergeReportIntoManifest(Map<String,String> manifest,
                                           Map<String,String> report,
                                           String namespace)

train

public static ParserModel train(String languageCode,
                                ObjectStream<Parse> parseSamples,
                                HeadRules rules,
                                TrainingParameters mlParams)
                         throws IOException

Throws:

IOException

train

@Deprecated
public static ParserModel train(String languageCode,
                                            ObjectStream<Parse> parseSamples,
                                            HeadRules rules,
                                            int iterations,
                                            int cut)
                                     throws IOException

Deprecated. use train(String, ObjectStream, HeadRules, TrainingParameters) instead and pass in a TrainingParameters object.

Throws:

IOException