org.dkpro.core.opennlp

Class OpenNlpChunkerTrainer

java.lang.Object

org.apache.uima.analysis_component.AnalysisComponent_ImplBase

org.apache.uima.analysis_component.Annotator_ImplBase

org.apache.uima.analysis_component.JCasAnnotator_ImplBase

org.apache.uima.fit.component.JCasConsumer_ImplBase

org.dkpro.core.opennlp.internal.OpenNlpTrainerBase<org.dkpro.core.opennlp.internal.CasChunkSampleStream>

org.dkpro.core.opennlp.OpenNlpChunkerTrainer

All Implemented Interfaces:

org.apache.uima.analysis_component.AnalysisComponent

public class OpenNlpChunkerTrainer
extends org.dkpro.core.opennlp.internal.OpenNlpTrainerBase<org.dkpro.core.opennlp.internal.CasChunkSampleStream>

Train a chunker model for OpenNLP.

Field Summary

Fields

Modifier and Type	Field and Description
static String	PARAM_ALGORITHM Training algorithm.
static String	PARAM_BEAMSIZE Beam size.
static String	PARAM_CUTOFF Frequency cut-off.
static String	PARAM_ITERATIONS Number of training iterations.
static String	PARAM_LANGUAGE Store this language to the model instead of the document language.
static String	PARAM_NUM_THREADS Number of parallel threads.
static String	PARAM_TRAINER_TYPE Trainer type.

Fields inherited from class org.dkpro.core.opennlp.internal.OpenNlpTrainerBase

PARAM_TARGET_LOCATION

Constructor Summary

Constructors

Constructor and Description
OpenNlpChunkerTrainer()

Method Summary

Modifier and Type	Method and Description
org.dkpro.core.opennlp.internal.CasChunkSampleStream	makeSampleStream()
Callable<? extends opennlp.tools.util.model.BaseModel>	makeTrainer()

Methods inherited from class org.dkpro.core.opennlp.internal.OpenNlpTrainerBase

collectionProcessComplete, getStream, initialize, process

Methods inherited from class org.apache.uima.analysis_component.JCasAnnotator_ImplBase

getRequiredCasInterface, process

Methods inherited from class org.apache.uima.analysis_component.Annotator_ImplBase

getCasInstancesRequired, hasNext, next

Methods inherited from class org.apache.uima.analysis_component.AnalysisComponent_ImplBase

batchProcessComplete, destroy, getContext, getLogger, getResultSpecification, reconfigure, setResultSpecification

Methods inherited from class java.lang.Object

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

Field Detail

PARAM_LANGUAGE

public static final String PARAM_LANGUAGE

Store this language to the model instead of the document language.

See Also:

Constant Field Values

PARAM_ALGORITHM

public static final String PARAM_ALGORITHM

Training algorithm.

See Also:

Constant Field Values

PARAM_TRAINER_TYPE

public static final String PARAM_TRAINER_TYPE

Trainer type.

See Also:

Constant Field Values

PARAM_ITERATIONS

public static final String PARAM_ITERATIONS

Number of training iterations.

See Also:

Constant Field Values

PARAM_CUTOFF

public static final String PARAM_CUTOFF

Frequency cut-off.

See Also:

Constant Field Values

PARAM_BEAMSIZE

public static final String PARAM_BEAMSIZE

Beam size.

See Also:

ChunkerME.DEFAULT_BEAM_SIZE, Constant Field Values

PARAM_NUM_THREADS

public static final String PARAM_NUM_THREADS

Number of parallel threads.

See Also:

Constant Field Values

Constructor Detail

OpenNlpChunkerTrainer

public OpenNlpChunkerTrainer()

Method Detail

makeSampleStream

public org.dkpro.core.opennlp.internal.CasChunkSampleStream makeSampleStream()

Specified by:

makeSampleStream in class org.dkpro.core.opennlp.internal.OpenNlpTrainerBase<org.dkpro.core.opennlp.internal.CasChunkSampleStream>

makeTrainer

public Callable<? extends opennlp.tools.util.model.BaseModel> makeTrainer()

Specified by:

makeTrainer in class org.dkpro.core.opennlp.internal.OpenNlpTrainerBase<org.dkpro.core.opennlp.internal.CasChunkSampleStream>