Package opennlp.tools.tokenize

Examples of opennlp.tools.tokenize.TokenizerEvaluationMonitor


   
    if (mlParams == null)
      mlParams = TokenizerTrainerTool.createTrainingParameters(
          params.getIterations(), params.getCutoff());
   
    TokenizerEvaluationMonitor listener = null;
    if (params.getMisclassified()) {
      listener = new TokenEvaluationErrorListener();
    }
   
    try {
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    Charset encoding = params.getEncoding();

    TokenizerModel model = new TokenizerModelLoader().load(params.getModel());

    TokenizerEvaluationMonitor missclassifiedListener = null;
    if (params.getMisclassified()) {
      missclassifiedListener = new TokenEvaluationErrorListener();
    }

    TokenizerEvaluator evaluator = new TokenizerEvaluator(
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      mlParams = ModelUtil.createTrainingParameters(params.getIterations(), params.getCutoff());
    }

    TokenizerCrossValidator validator;
   
    TokenizerEvaluationMonitor listener = null;
    if (params.getMisclassified()) {
      listener = new TokenEvaluationErrorListener();
    }
   
    try {
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  public void run(String format, String[] args) {
    super.run(format, args);

    TokenizerModel model = new TokenizerModelLoader().load(params.getModel());

    TokenizerEvaluationMonitor misclassifiedListener = null;
    if (params.getMisclassified()) {
      misclassifiedListener = new TokenEvaluationErrorListener();
    }

    TokenizerEvaluator evaluator = new TokenizerEvaluator(
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      mlParams = ModelUtil.createDefaultTrainingParameters();
    }

    TokenizerCrossValidator validator;

    TokenizerEvaluationMonitor listener = null;
    if (params.getMisclassified()) {
      listener = new TokenEvaluationErrorListener();
    }

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

    TokenizerModel model = new TokenizerModelLoader().load(params.getModel());

    TokenizerEvaluationMonitor misclassifiedListener = null;
    if (params.getMisclassified()) {
      misclassifiedListener = new TokenEvaluationErrorListener();
    }

    TokenizerEvaluator evaluator = new TokenizerEvaluator(
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