Package org.apache.uima.examples.tagger

Source Code of org.apache.uima.examples.tagger.HMMTagger

/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements.  See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership.  The ASF licenses this file
* to you 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.apache.uima.examples.tagger;

import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.io.ObjectInputStream;
import java.util.ArrayList;
import java.util.List;

import org.apache.uima.SentenceAnnotation;
import org.apache.uima.TokenAnnotation;
import org.apache.uima.UimaContext;
import org.apache.uima.analysis_component.JCasAnnotator_ImplBase;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.analysis_engine.annotator.AnnotatorConfigurationException;
import org.apache.uima.cas.FSIterator;
import org.apache.uima.cas.text.AnnotationIndex;
import org.apache.uima.examples.tagger.trainAndTest.MappingInterface;
import org.apache.uima.examples.tagger.trainAndTest.ModelGeneration;
import org.apache.uima.jcas.JCas;
import org.apache.uima.resource.ResourceInitializationException;

/**
* UIMA Analysis Engine that invokes HMM POS tagger. HMM POS tagger generates part-of-speech tags
* for every token. This annotator assumes that sentences and tokens have already been annotated in the CAS
* with Sentence and Token annotations, respectively. We iterate over sentences, then iterate over
* tokens in the current sentence to accumulate a list of words, then invoke the HMM POS tagger on
* the list of words. For each Token we then update the posTag field with the POS tag. The model
* file for the HMM POS tagger is specified as a parameter (MODEL_FILE_PARAM).
*
*/

public class HMMTagger extends JCasAnnotator_ImplBase implements Tagger{
 
  private static final String model_file_param = "Model";
 
  private static final String n_param = "NGRAM_SIZE";

  /**
   * for a bigram model: N = 2, for a trigram model N=3 N is defined in parameter file
   */
  public int N;

  // public String END_OF_SENT_TAG;

  public ModelGeneration my_model;
 
  MappingInterface MAPPING;
  /**
   * Initialize the Annotator.
   *
   * @see JCasAnnotator_ImplBase#initialize(UimaContext)
   */
  public void initialize(UimaContext aContext) throws ResourceInitializationException {
    super.initialize(aContext);

    try {

      this.N = ((Integer) aContext.getConfigParameterValue(n_param)).intValue();
         
      this.my_model = get_model();
     
      if (this.my_model == null) {
        throw new ResourceInitializationException(new Exception("Could not load model file."));
      }

    } catch (Exception e) {
      throw new ResourceInitializationException(e);
    }
  }

  /**
   * Reads a saved {@code MODEL} object from a file
   *
   * @param filename
   *          model file
   * @return {@link ModelGeneration}
   */
  public static ModelGeneration get_model(String filename) {

    System.out.println("The used model is:" + filename);
   
    InputStream model = null;
    ModelGeneration oRead = null;

    try {
      model = new FileInputStream(filename);
      ObjectInputStream p = new ObjectInputStream(model);
      oRead = (ModelGeneration) p.readObject();
    }

    catch (IOException e) {
      e.printStackTrace();
    } catch (ClassNotFoundException e) {
      e.printStackTrace();
    } finally {
      try {
        model.close();
      } catch (Exception e) {
        e.printStackTrace();
      }
    }
    return oRead;
  }
 
  private ModelGeneration get_model() throws AnnotatorConfigurationException {

    IModelResource modelResource = null;
    try {
      modelResource = (IModelResource) getContext().getResourceObject(model_file_param);
    } catch (Exception e) {
      throw new AnnotatorConfigurationException(e);
    }

    return modelResource.getModel();
  }


  /**
   * Process a CAS.
   *
   * @see JCasAnnotator_ImplBase#process(JCas)
   */
  @SuppressWarnings("unchecked")
  public void process(JCas aJCas) throws AnalysisEngineProcessException {

    ArrayList<TokenAnnotation> tokenList = new ArrayList<TokenAnnotation>();
    ArrayList<String> wordList = new ArrayList<String>();

    AnnotationIndex sentenceIndex = aJCas.getAnnotationIndex(SentenceAnnotation.type);
    AnnotationIndex tokenIndex = aJCas.getAnnotationIndex(TokenAnnotation.type);

    // iterate over Sentences
    FSIterator sentenceIterator = sentenceIndex.iterator();

    while (sentenceIterator.hasNext()) {
      SentenceAnnotation sentence = (SentenceAnnotation) sentenceIterator.next();

      tokenList.clear();
      wordList.clear();

      FSIterator tokenIterator = tokenIndex.subiterator(sentence);
      while (tokenIterator.hasNext()) {
        TokenAnnotation token = (TokenAnnotation) tokenIterator.next();

        tokenList.add(token);
        wordList.add(token.getCoveredText());
      }

      List<String> wordTagList = Viterbi.process(this.N, wordList, this.my_model.suffix_tree, this.my_model.suffix_tree_capitalized, this.my_model.transition_probs,
              this.my_model.word_probs, this.my_model.lambdas2, this.my_model.lambdas3, this.my_model.theta);

    
      try {
        for (int i = 0; i < tokenList.size(); i++) {
          TokenAnnotation token = tokenList.get(i);
          String posTag = wordTagList.get(i);
          token.setPosTag(posTag);
        }
      } catch (IndexOutOfBoundsException e) {
        System.err.println("POS tagger error - list of tags shorter than list of words");
      }
    }
  }

}
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