Package dkpro.similarity.algorithms.api

Examples of dkpro.similarity.algorithms.api.SimilarityException


      text2 = translator.translate(bridgeText2, bridgeLanguage.toString(), originalLanguage.toString());
     
      System.out.println(text1);
     
      } catch (IOException e) {
        throw new SimilarityException(e);
      }
     
        // We now have to lemmatize again and pass the round-trip translated texts to
      // the final similarity measure for comparison
      Collection<String> lemmas1;
      Collection<String> lemmas2;
     
    try {
      lemmas1 = getLemmas(text1);
      lemmas2 = getLemmas(text2);
    }
    catch (AnalysisEngineProcessException e) {
      throw new SimilarityException(e);
    }
    catch (ResourceInitializationException e) {
      throw new SimilarityException(e);
    }
       
        return measure.getSimilarity(lemmas1, lemmas2);
    }
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  @Override
  public double getSimilarity(Collection<String> stringList1,
      Collection<String> stringList2)
    throws SimilarityException
  {
    throw new SimilarityException(new NotImplementedException());
  }
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  @Override
  public double getSimilarity(Collection<String> stringList1,
      Collection<String> stringList2)
    throws SimilarityException
  {
    throw new SimilarityException(new NotImplementedException());
  }
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          System.out.println(eval.toSummaryString());
        System.out.println(eval.toMatrixString());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
  }
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    Instances data;
    try {
      data = DataSource.read(trainArff.getAbsolutePath());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
   
    // Set the index of the class attribute
    data.setClassIndex(data.numAttributes() - 1);
   
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    Instances data;
    try {
      data = DataSource.read(testArff.getAbsolutePath());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
   
    // Set the index of the class attribute
    data.setClassIndex(data.numAttributes() - 1);
   
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    try {
      return filteredClassifier.classifyInstance(testInst);
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
  }
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          eval.evaluateModel(filteredClassifier, test);
         
          System.out.println(filteredClassifier.toString());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
  }
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    Instances data;
    try {
      data = DataSource.read(trainArff.getAbsolutePath());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
   
    // Set the index of the class attribute
    data.setClassIndex(data.numAttributes() - 1);
   
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    Instances data;
    try {
      data = DataSource.read(testArff.getAbsolutePath());
    }
    catch (Exception e) {
      throw new SimilarityException(e);
    }
   
    // Set the index of the class attribute
    data.setClassIndex(data.numAttributes() - 1);
   
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