Example usage for opennlp.tools.namefind NameFinderME train

Introduction

In this page you can find the example usage for opennlp.tools.namefind NameFinderME train.

Prototype

public static TokenNameFinderModel train(String languageCode, String type, ObjectStream<NameSample> samples,
            TrainingParameters trainParams, TokenNameFinderFactory factory) throws IOException 

Source Link

Usage

From source file:de.tudarmstadt.ukp.dkpro.core.opennlp.OpenNlpNamedEntityRecognizerTrainer.java

@Override
public void initialize(UimaContext aContext) throws ResourceInitializationException {
    super.initialize(aContext);

    stream = new CasNameSampleStream();

    TrainingParameters params = new TrainingParameters();
    params.put(TrainingParameters.ALGORITHM_PARAM, algorithm);
    //        params.put(TrainingParameters.TRAINER_TYPE_PARAM,
    //                TrainerFactory.getTrainerType(params.getSettings()).name());
    params.put(TrainingParameters.ITERATIONS_PARAM, Integer.toString(iterations));
    params.put(TrainingParameters.CUTOFF_PARAM, Integer.toString(cutoff));
    params.put(BeamSearch.BEAM_SIZE_PARAMETER, Integer.toString(beamSize));

    byte featureGenCfg[] = loadFeatureGen(featureGen);

    Callable<TokenNameFinderModel> trainTask = () -> {
        try {/*from   ww  w  .  j  av a  2  s.  com*/
            return NameFinderME.train(language, null, stream, params, new TokenNameFinderFactory(featureGenCfg,
                    Collections.<String, Object>emptyMap(), sequenceEncoding.getCodec()));
        } catch (Throwable e) {
            stream.close();
            throw e;
        }
    };

    future = executor.submit(trainTask);
}

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