Package opennlp.tools.parser

Examples of opennlp.tools.parser.ParserModel$POSModelSerializer

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    opennlp.model.EventStream attachEvents = new ParserEventStream(parseSamples, rules,
        ParserEventTypeEnum.ATTACH);
    AbstractModel attachModel = train(attachEvents, iterations, cut);
   
    // TODO: Remove cast for HeadRules
    return new ParserModel(languageCode, buildModel, checkModel,
        attachModel, posModel, chunkModel,
        (opennlp.tools.parser.lang.en.HeadRules) rules, ParserType.TREEINSERT);
  }
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    BasicTrainingParameters parameters = new BasicTrainingParameters(args);
   
    // Load model to be updated
    File modelFile = new File(CmdLineUtil.getParameter("-model", args));
    ParserModel originalParserModel = new ParserModelLoader().load(modelFile);

    ObjectStream<Parse> parseSamples = ParserTrainerTool.openTrainingData(new File(CmdLineUtil.getParameter("-data", args)),
        parameters.getEncoding());
   
    ParserModel updatedParserModel;
    try {
      updatedParserModel = trainAndUpdate(originalParserModel,
          parseSamples, parameters);
    }
    catch (IOException e) {
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    if (args.length < 1) {
      System.out.println(getHelp());
      throw new TerminateToolException(1);
    }
   
    ParserModel model = new ParserModelLoader().load(new File(args[args.length - 1]));
   
    Integer beamSize = CmdLineUtil.getIntParameter("-bs", args);
    if (beamSize == null)
        beamSize = AbstractBottomUpParser.defaultBeamSize;
   
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    ObjectStream<Parse> sampleStream = openTrainingData(new File(CmdLineUtil.getParameter("-data", args)), parameters.getEncoding());
   
    File modelOutFile = new File(CmdLineUtil.getParameter("-model", args));
    CmdLineUtil.checkOutputFile("parser model", modelOutFile);
   
    ParserModel model;
    try {
     
      HeadRules rules = new opennlp.tools.parser.lang.en.HeadRules(
          new InputStreamReader(new FileInputStream(new File(CmdLineUtil.getParameter("-head-rules", args))),
          parameters.getEncoding()));
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     * double advancePercentage =
     * opennlp.tools.parser.chunking.Parser.defaultAdvancePercentage;
     * opennlp.tools.parser.Parser parser = TreebankParser.getParser(
     * "models/parser", useTagDict, useCaseInsensitiveTagDict, beamSize,
     * advancePercentage);
     */Parser parser = ParserFactory.create(new ParserModel(
        new FileInputStream("models/en-parser-chunking.bin")),
        AbstractBottomUpParser.defaultBeamSize,
        AbstractBottomUpParser.defaultAdvancePercentage);

    // break a paragraph into sentences
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Related Classes of opennlp.tools.parser.ParserModel$POSModelSerializer

  • com.tamingtext.opennlp.ParserTest
  • functionality.Models
  • kpi.asoiu.parsers.ParseSentence
  • net.sf.nlpshell.Main
  • opennlp.model.AbstractModel
  • opennlp.model.BinaryFileDataReader
  • opennlp.model.GenericModelReader
  • opennlp.tools.chunker.ChunkerModel
  • opennlp.tools.cmdline.parser.ModelUpdaterTool
  • opennlp.tools.cmdline.parser.ParserEvaluatorTool
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