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Java example source code file (PoStagger.java)

This example Java source code file (PoStagger.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

annotationcomboiterator, annotationfs, feature, iterator, linkedlist, list, override, posmodelresource, postagger, postaggerme, resourceinitializationexception, stringbuilder, type, uimacontext, util

The PoStagger.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.text.annotator;

import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;

import opennlp.tools.postag.POSModel;
import opennlp.tools.postag.POSTaggerME;
import opennlp.uima.postag.POSModelResource;
import opennlp.uima.postag.POSModelResourceImpl;
import opennlp.uima.util.AnnotationComboIterator;
import opennlp.uima.util.AnnotationIteratorPair;
import opennlp.uima.util.AnnotatorUtil;
import opennlp.uima.util.UimaUtil;

import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineDescription;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.cas.CAS;
import org.apache.uima.cas.Feature;
import org.apache.uima.cas.Type;
import org.apache.uima.cas.TypeSystem;
import org.apache.uima.cas.text.AnnotationFS;
import org.apache.uima.fit.component.CasAnnotator_ImplBase;
import org.apache.uima.fit.factory.AnalysisEngineFactory;
import org.apache.uima.fit.factory.ExternalResourceFactory;
import org.apache.uima.resource.ResourceAccessException;
import org.apache.uima.resource.ResourceInitializationException;
import org.apache.uima.util.Level;
import org.apache.uima.util.Logger;
import org.cleartk.token.type.Sentence;
import org.cleartk.token.type.Token;
import org.deeplearning4j.text.movingwindow.Util;



public class PoStagger extends CasAnnotator_ImplBase {

    static {
        //UIMA logging
        Util.disableLogging();
    }

	 private POSTaggerME posTagger;

	  private Type sentenceType;

	  private Type tokenType;

	  private Feature posFeature;

	  private Feature probabilityFeature;

	  private UimaContext context;

	  private Logger logger;

	  /**
	   * Initializes a new instance.
	   * 
	   * Note: Use {@link #initialize(UimaContext) } to initialize this instance. Not use the
	   * constructor.
	   */
	  public PoStagger() {
	    // must not be implemented !
	  }

	  /**
	   * Initializes the current instance with the given context.
	   * 
	   * Note: Do all initialization in this method, do not use the constructor.
	   */
	  @Override
	  public void initialize(UimaContext context)
	      throws ResourceInitializationException {

	    super.initialize(context);

	    this.context = context;

	    this.logger = context.getLogger();

	    if (this.logger.isLoggable(Level.INFO)) {
	      this.logger.log(Level.INFO, "Initializing the OpenNLP "
	          + "Part of Speech annotator.");
	    }

	    POSModel model;

	    try {
	      POSModelResource modelResource = (POSModelResource) context
	          .getResourceObject(UimaUtil.MODEL_PARAMETER);

	      model = modelResource.getModel();
	    } catch (ResourceAccessException e) {
	      throw new ResourceInitializationException(e);
	    }

	    Integer beamSize = AnnotatorUtil.getOptionalIntegerParameter(context,
	        UimaUtil.BEAM_SIZE_PARAMETER);

	    if (beamSize == null)
	      beamSize = POSTaggerME.DEFAULT_BEAM_SIZE;

	    this.posTagger = new POSTaggerME(model, beamSize, 0);
	  }

	  /**
	   * Initializes the type system.
	   */
	  @Override
	  public void typeSystemInit(TypeSystem typeSystem) throws AnalysisEngineProcessException {

	    // sentence type
	    this.sentenceType = AnnotatorUtil.getRequiredTypeParameter(this.context, typeSystem,
	        UimaUtil.SENTENCE_TYPE_PARAMETER);

	    // token type
	    this.tokenType = AnnotatorUtil.getRequiredTypeParameter(this.context, typeSystem,
	        UimaUtil.TOKEN_TYPE_PARAMETER);

	    // pos feature
	    this.posFeature = AnnotatorUtil.getRequiredFeatureParameter(this.context, this.tokenType,
	        UimaUtil.POS_FEATURE_PARAMETER, CAS.TYPE_NAME_STRING);

	    this.probabilityFeature = AnnotatorUtil.getOptionalFeatureParameter(this.context,
	        this.tokenType, UimaUtil.PROBABILITY_FEATURE_PARAMETER, CAS.TYPE_NAME_DOUBLE);
	  }

	  /**
	   * Performs pos-tagging on the given tcas object.
	   */
	  @Override
	  public synchronized void process(CAS tcas) {

	    final AnnotationComboIterator comboIterator = new AnnotationComboIterator(tcas,
	        this.sentenceType, this.tokenType);

	    for (AnnotationIteratorPair annotationIteratorPair : comboIterator) {
	      
	      final List<AnnotationFS> sentenceTokenAnnotationList = new LinkedList();

	      final List<String> sentenceTokenList = new LinkedList();

	      for (AnnotationFS tokenAnnotation : annotationIteratorPair.getSubIterator()) {

	        sentenceTokenAnnotationList.add(tokenAnnotation);

	        sentenceTokenList.add(tokenAnnotation.getCoveredText());
	      }

	      final List<String> posTags = this.posTagger.tag(sentenceTokenList);

	      double posProbabilities[] = null;

	      if (this.probabilityFeature != null) {
	        posProbabilities = this.posTagger.probs();
	      }

	      final Iterator<String> posTagIterator = posTags.iterator();
	      final Iterator<AnnotationFS> sentenceTokenIterator = sentenceTokenAnnotationList.iterator();

	      int index = 0;
	      while (posTagIterator.hasNext() && sentenceTokenIterator.hasNext()) {
	        final String posTag = posTagIterator.next();
	        final AnnotationFS tokenAnnotation = sentenceTokenIterator.next();

	        tokenAnnotation.setStringValue(this.posFeature, posTag);

	        if (posProbabilities != null) {
	          tokenAnnotation.setDoubleValue(this.posFeature, posProbabilities[index]);
	        }

	        index++;
	      }

	      // log tokens with pos
	      if (this.logger.isLoggable(Level.FINER)) {

	        final StringBuilder sentenceWithPos = new StringBuilder();

	        sentenceWithPos.append("\"");

	        for (final Iterator<AnnotationFS> it = sentenceTokenAnnotationList.iterator(); it.hasNext();) {
	          final AnnotationFS token = it.next();
	          sentenceWithPos.append(token.getCoveredText());
	          sentenceWithPos.append('\\');
	          sentenceWithPos.append(token.getStringValue(this.posFeature));
	          sentenceWithPos.append(' ');
	        }

	        // delete last whitespace
	        if (sentenceWithPos.length() > 1) // not 0 because it contains already the " char
	          sentenceWithPos.setLength(sentenceWithPos.length() - 1);
	        
	        sentenceWithPos.append("\"");

	        this.logger.log(Level.FINER, sentenceWithPos.toString());
	      }
	    }
	  }

	  /**
	   * Releases allocated resources.
	   */
	  @Override
	  public void destroy() {
	    this.posTagger = null;
	  }
	
	
	public static AnalysisEngineDescription getDescription(String languageCode)
      throws ResourceInitializationException {
    String modelPath = String.format("/models/%s-pos-maxent.bin", languageCode);
    return AnalysisEngineFactory.createEngineDescription(
            PoStagger.class,
            opennlp.uima.util.UimaUtil.MODEL_PARAMETER,
            ExternalResourceFactory.createExternalResourceDescription(
                    POSModelResourceImpl.class,
                    PoStagger.class.getResource(modelPath).toString()),
            opennlp.uima.util.UimaUtil.SENTENCE_TYPE_PARAMETER,
            Sentence.class.getName(),
            opennlp.uima.util.UimaUtil.TOKEN_TYPE_PARAMETER,
            Token.class.getName(),
            opennlp.uima.util.UimaUtil.POS_FEATURE_PARAMETER,
            "pos");
  }



}

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