Class Parser

java.lang.Object

opennlp.tools.parser.AbstractBottomUpParser

opennlp.tools.parser.chunking.Parser

All Implemented Interfaces:

opennlp.tools.parser.Parser

public class Parser
extends AbstractBottomUpParser

A shift reduce style Parser implementation based on Adwait Ratnaparkhi's 1998 thesis.

See Also:

• AbstractBottomUpParser
• Parser

Field Summary

Fields inherited from class AbstractBottomUpParser

COMPLETE, CONT, defaultAdvancePercentage, defaultBeamSize, INCOMPLETE, OTHER, START

Fields inherited from interface opennlp.tools.parser.Parser

INC_NODE, TOK_NODE, TOP_NODE

Constructor Summary

Constructors

Constructor	Description
Parser(ParserModel model)	Instantiates a Parser via a given model.
Parser(ParserModel model, int beamSize, double advancePercentage)	Instantiates a Parser via a given model and other configuration parameters.

Method Summary

Modifier and Type	Method	Description
static void	mergeReportIntoManifest(Map<String,String> manifest, Map<String,String> report, String namespace)
static ParserModel	train(String languageCode, opennlp.tools.util.ObjectStream<opennlp.tools.parser.Parse> parseSamples, opennlp.tools.parser.HeadRules rules, opennlp.tools.util.TrainingParameters mlParams)	Starts a training of a ParserModel.

Methods inherited from class AbstractBottomUpParser

buildDictionary, buildDictionary, collapsePunctuation, parse, parse, setErrorReporting, setParents

Methods inherited from class Object

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

Constructor Details

Parser

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

Instantiates a Parser via a given model and other configuration parameters. Uses the default implementations of POSTaggerME and ChunkerME.

Parameters:

model - The ParserModel to use.

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.

Throws:

IllegalStateException - Thrown if the ParserType is not supported.

See Also:

• ParserModel
• POSTaggerME
• ChunkerME

Parser

public Parser(ParserModel model)

Instantiates a Parser via a given model. Uses the default implementations of POSTaggerME and ChunkerME and default values for beamSize and advancePercentage.

Parameters:

model - The ParserModel to use.

Throws:

IllegalStateException - Thrown if the ParserType is not supported.

See Also:

• ParserModel
• POSTaggerME
• ChunkerME

Method Details

mergeReportIntoManifest

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

train

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

Starts a training of a ParserModel.

Parameters:

languageCode - An ISO conform language code.

parseSamples - The samples as input.

rules - The HeadRules to use.

mlParams - The parameters for training.

Returns:

A valid ParserModel.

Throws:

IOException - Thrown if IO errors occurred during training.