Package opennlp.tools.postag

Examples of opennlp.tools.postag.POSModel

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  }
 
  @Override
  protected POSModel loadModel(InputStream modelIn) throws IOException,
      InvalidFormatException {
    return new POSModel(modelIn);
  }
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    super.initialize(uimaContext);

    logger.info("POS tagger model file: " + posModelPath);

    try (InputStream fis = FileLocator.getAsStream(posModelPath)) {
      POSModel modelFile = new POSModel(fis);
      tagger = new opennlp.tools.postag.POSTaggerME(modelFile);
    } catch (Exception e) {
      logger.info("Error loading POS tagger model: " + posModelPath);
      throw new ResourceInitializationException(e);
    }
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    mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build");
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),
        mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
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  private static class POSModelSerializer implements ArtifactSerializer<POSModel> {

    public POSModel create(InputStream in) throws IOException,
        InvalidFormatException {
      return new POSModel(new UncloseableInputStream(in));
    }
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      File parserModelInFile = new File(args[0]);
      ParserModel parserModel = new ParserModelLoader().load(parserModelInFile);

      File taggerModelInFile = new File(args[1]);
      POSModel taggerModel = new POSModelLoader().load(taggerModelInFile);

      ParserModel updatedParserModel = parserModel.updateTaggerModel(taggerModel);

      CmdLineUtil.writeModel("parser", parserModelInFile, updatedParserModel);
    }
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    if (args.length != 1) {
      System.out.println(getHelp());
    } else {
   
      POSModel model = new POSModelLoader().load(new File(args[0]));

      POSTaggerME tagger = new POSTaggerME(model);

      ObjectStream<String> lineStream =
        new PlainTextByLineStream(new InputStreamReader(System.in));
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  }

  public void run(String format, String[] args) {
    super.run(format, args);

    POSModel model = new POSModelLoader().load(params.getModel());
   
    POSTaggerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new POSEvaluationErrorListener();
    }
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            "IO error while creating/extending POS Dictionary: "
                + e.getMessage(), e);
      }
    }

    POSModel model;
    try {
      model = opennlp.tools.postag.POSTaggerME.train(params.getLang(),
          sampleStream, mlParams, postaggerFactory);
    }
    catch (IOException e) {
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    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
        parseSamples), mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
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        if(!config.enablePosTagger){
            return null;
        }
        if(posTagger == null && !posTaggerNotAvailable){
            try {
                POSModel posModel = openNLP.getPartOfSpeachModel(language);
                if(posModel != null){
                    posTagger = new POSTaggerME(posModel);
                } else {
                    log.debug("No POS Model for language '{}'",language);
                    posTaggerNotAvailable = true;
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Related Classes of opennlp.tools.postag.POSModel

  • com.tamingtext.opennlp.AnswerTypeTest
  • com.tamingtext.opennlp.ChunkParserTest
  • com.tamingtext.opennlp.POSTaggerTest
  • com.tamingtext.qa.AnswerTypeClassifier
  • com.tamingtext.qa.AnswerTypeEventStream
  • com.tamingtext.qa.QuestionQParserPlugin
  • edu.washington.cs.knowitall.util.DefaultObjects
  • opennlp.model.AbstractModel
  • opennlp.tools.cmdline.parser.TaggerModelReplacerTool
  • opennlp.tools.cmdline.postag.POSModelLoader
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