List of testOnTreebank() Examples

Examples of testOnTreebank()

edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()
Test the parser on a treebank. Parses will be written to stdout, and various other information will be written to stderr and stdout, particularly if op.testOptions.verbose is true. @param testTreebank The treebank to parse @return The labeled precision/recall F₁ (EVALB measure)of the parser on the treebank.

Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

          // Time for debugging output!
          double tagF1 = 0.0;
          double labelF1 = 0.0;
          if (testTreebank != null) {
            EvaluateTreebank evaluator = new EvaluateTreebank(attachModelToLexicalizedParser());
            evaluator.testOnTreebank(testTreebank);
            labelF1 = evaluator.getLBScore();
            tagF1 = evaluator.getTagScore();
            if (labelF1 > bestLabelF1) {
              bestLabelF1 = labelF1;
            }

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

      }
    }


    if (testTreebankPath != null) {
      EvaluateTreebank evaluator = new EvaluateTreebank(dvparser.attachModelToLexicalizedParser());
      evaluator.testOnTreebank(testTreebank);
    }




    System.err.println("Successfully ran DVParser");
  }

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

      Treebank testTreebank = parser.op.tlpParams.memoryTreebank();
      testTreebank.loadPath(testTreebankPath.first(), testTreebankPath.second());
      System.err.println("Loaded " + testTreebank.size() + " trees");


      EvaluateTreebank evaluator = new EvaluateTreebank(parser.op, null, parser);
      evaluator.testOnTreebank(testTreebank);


      // System.err.println("Input tree: " + tree);
      // System.err.println("Debinarized tree: " + query.getBestParse());
      // System.err.println("Parsed binarized tree: " + query.getBestBinarizedParse());
      // System.err.println("Predicted transition sequence: " + query.getBestTransitionSequence());

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

      testTreebank = combinedParser.getOp().tlpParams.memoryTreebank();;
      testTreebank.loadPath(testTreebankPath, testTreebankFilter);
      System.err.println("Read in " + testTreebank.size() + " trees for testing");


      EvaluateTreebank evaluator = new EvaluateTreebank(combinedParser.getOp(), null, combinedParser);
      evaluator.testOnTreebank(testTreebank);
    }
  }
}

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

    double[] tagResults = new double[weights.length];


    for (int i = 0; i < weights.length; ++i) {
      lexparser.getOp().baseParserWeight = weights[i];
      EvaluateTreebank evaluator = new EvaluateTreebank(lexparser);
      evaluator.testOnTreebank(testTreebank);
      labelResults[i] = evaluator.getLBScore();
      tagResults[i] = evaluator.getTagScore();
    }


    for (int i = 0; i < weights.length; ++i) {

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()




      double labelF1 = 0.0;
      if (devTreebank != null) {
        EvaluateTreebank evaluator = new EvaluateTreebank(op, null, new ShiftReduceParser(op, this), tagger);
        evaluator.testOnTreebank(devTreebank);
        labelF1 = evaluator.getLBScore();
        System.err.println("Label F1 after " + iteration + " iterations: " + labelF1);


        if (labelF1 > bestScore) {
          System.err.println("New best dev score (previous best " + bestScore + ")");

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Examples of edu.stanford.nlp.parser.lexparser.EvaluateTreebank.testOnTreebank()

          System.err.println("Testing with " + i + " models averaged together");
          // TODO: this is kind of ugly, would prefer a separate object
          averageScoredModels(models.subList(0, i));
          ShiftReduceParser temp = new ShiftReduceParser(op, this);
          EvaluateTreebank evaluator = new EvaluateTreebank(temp.op, null, temp, tagger);
          evaluator.testOnTreebank(devTreebank);
          double labelF1 = evaluator.getLBScore();
          System.err.println("Label F1 for " + i + " models: " + labelF1);
          if (labelF1 > bestF1) {
            bestF1 = labelF1;
            bestSize = i;

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