Package opennlp.tools.cmdline

Examples of opennlp.tools.cmdline.PerformanceMonitor

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      TokenNameFinderEvaluator evaluator = new TokenNameFinderEvaluator(nameFinder);
     
      final NameSampleDataStream sampleStream = new NameSampleDataStream(
          new PlainTextByLineStream(new InputStreamReader(new FileInputStream(args[2]), args[1])));
     
      final PerformanceMonitor monitor = new PerformanceMonitor("sent");
     
      monitor.startAndPrintThroughput();
     
      ObjectStream<NameSample> iterator = new ObjectStream<NameSample>() {

        public NameSample read() throws IOException {
          monitor.incrementCounter();
          return sampleStream.read();
        }
       
        public void reset() throws IOException {
          sampleStream.reset();
        }
       
        public void close() throws IOException {
          sampleStream.close();
        }
      };
     
      evaluator.evaluate(iterator);
     
      monitor.stopAndPrintFinalResult();
     
      System.out.println();
      System.out.println("F-Measure: " + evaluator.getFMeasure().getFMeasure());
      System.out.println("Recall: " + evaluator.getFMeasure().getRecallScore());
      System.out.println("Precision: " + evaluator.getFMeasure().getPrecisionScore());
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        new PlainTextByLineStream(new InputStreamReader(System.in));
   
    ObjectStream<String> tokenizedLineStream = new WhitespaceTokenStream(
        new TokenizerStream(tokenizer, untokenizedLineStream));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String tokenizedLine;
      while ((tokenizedLine = tokenizedLineStream.read()) != null) {
        System.out.println(tokenizedLine);
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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    }
   
    ObjectStream<String> untokenizedLineStream =
        new PlainTextByLineStream(new InputStreamReader(System.in));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String line;
      while((line = untokenizedLineStream.read()) != null) {
        String whitespaceTokenizerLine[] = WhitespaceTokenizer.INSTANCE.tokenize(line);
       
        // A new line indicates a new document,
        // adaptive data must be cleared for a new document
       
        if (whitespaceTokenizerLine.length == 0) {
          for (int i = 0; i < nameFinders.length; i++) 
            nameFinders[i].clearAdaptiveData();
        }
       
        List<Span> names = new ArrayList<Span>();
       
        for (TokenNameFinder nameFinder : nameFinders) {
          Collections.addAll(names, nameFinder.find(whitespaceTokenizerLine));
        }
       
        // Simple way to drop intersecting spans, otherwise the
        // NameSample is invalid
        Span reducedNames[] = NameFinderME.dropOverlappingSpans(
            names.toArray(new Span[names.size()]));
       
        NameSample nameSample = new NameSample(whitespaceTokenizerLine,
            reducedNames, false);
       
        System.out.println(nameSample.toString());
       
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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        new DetokenizationDictionaryLoader().load(new File(args[0])));
   
    ObjectStream<String> tokenizedLineStream =
      new PlainTextByLineStream(new InputStreamReader(System.in));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String tokenizedLine;
      while ((tokenizedLine = tokenizedLineStream.read()) != null) {
       
        // white space tokenize line
        String tokens[] = WhitespaceTokenizer.INSTANCE.tokenize(tokenizedLine);
       
        DetokenizationOperation operations[] = detokenizer.detokenize(tokens);
       
        System.out.println(detokenize(tokens, operations));
       
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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        listeners.toArray(new ChunkerEvaluationMonitor[listeners.size()]));
   
    final ObjectStream<ChunkSample> sampleStream = ChunkerTrainerTool.openSampleData("Test",
        testData, encoding);

    final PerformanceMonitor monitor = new PerformanceMonitor("sent");

    ObjectStream<ChunkSample> measuredSampleStream = new ObjectStream<ChunkSample>() {

      public ChunkSample read() throws IOException {
        monitor.incrementCounter();
        return sampleStream.read();
      }

      public void reset() throws IOException {
        sampleStream.reset();
      }

      public void close() throws IOException {
        sampleStream.close();
      }
    };

    monitor.startAndPrintThroughput();

    try {
      evaluator.evaluate(measuredSampleStream);
    } catch (IOException e) {
      System.err.println("failed");
      System.err.println("Reading test data error " + e.getMessage());
      throw new TerminateToolException(-1);
    } finally {
      try {
        measuredSampleStream.close();
      } catch (IOException e) {
        // sorry that this can fail
      }
    }

    monitor.stopAndPrintFinalResult();

    System.out.println();

    if (detailedFMeasureListener == null) {
      System.out.println(evaluator.getFMeasure());
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        listeners.toArray(new TokenNameFinderEvaluationMonitor[listeners.size()]));

    final ObjectStream<NameSample> sampleStream = TokenNameFinderTrainerTool.openSampleData("Test",
        testData, encoding);

    final PerformanceMonitor monitor = new PerformanceMonitor("sent");

    ObjectStream<NameSample> measuredSampleStream = new ObjectStream<NameSample>() {

      public NameSample read() throws IOException {
        monitor.incrementCounter();
        return sampleStream.read();
      }

      public void reset() throws IOException {
        sampleStream.reset();
      }

      public void close() throws IOException {
        sampleStream.close();
      }
    };

    monitor.startAndPrintThroughput();

    try {
      evaluator.evaluate(measuredSampleStream);
    } catch (IOException e) {
      System.err.println("failed");
      System.err.println("Reading test data error " + e.getMessage());
      throw new TerminateToolException(-1);
    } finally {
      try {
        measuredSampleStream.close();
      } catch (IOException e) {
        // sorry that this can fail
      }
    }

    monitor.stopAndPrintFinalResult();

    System.out.println();

    if(detailedFListener == null) {
      System.out.println(evaluator.getFMeasure());
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        new DefaultChunkerSequenceValidator());
   
    ObjectStream<String> lineStream =
      new PlainTextByLineStream(new InputStreamReader(System.in));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String line;
      while ((line = lineStream.read()) != null) {
       
        POSSample posSample;
        try {
          posSample = POSSample.parse(line);
        } catch (InvalidFormatException e) {
          System.err.println("Invalid format:");
          System.err.println(line);
          continue;
        }
       
        String[] chunks = chunker.chunk(posSample.getSentence(),
            posSample.getTags());
       
        System.out.println(new ChunkSample(posSample.getSentence(),
            posSample.getTags(), chunks).nicePrint());
       
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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    DocumentCategorizerME doccat = new DocumentCategorizerME(model);
   
    ObjectStream<String> documentStream = new ParagraphStream(
        new PlainTextByLineStream(new InputStreamReader(System.in)));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "doc");
    perfMon.start();
   
    try {
      String document;
      while ((document = documentStream.read()) != null) {
        double prob[] = doccat.categorize(document);
        String category = doccat.getBestCategory(prob);
       
        DocumentSample sample = new DocumentSample(category, document);
        System.out.println(sample.toString());
       
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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    SentenceDetectorME sdetector = new SentenceDetectorME(model);

    ObjectStream<String> paraStream =
      new ParagraphStream(new PlainTextByLineStream(new InputStreamReader(System.in)));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String para;
      while ((para = paraStream.read()) != null) {
       
        String[] sents = sdetector.sentDetect(para);
        for (String sentence : sents) {
          System.out.println(sentence);
        }
       
        perfMon.incrementCounter(sents.length);
               
        System.out.println();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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    POSTaggerME tagger = new POSTaggerME(model);
   
    ObjectStream<String> lineStream =
      new PlainTextByLineStream(new InputStreamReader(System.in));
   
    PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
    perfMon.start();
   
    try {
      String line;
      while ((line = lineStream.read()) != null) {
       
        String whitespaceTokenizerLine[] = WhitespaceTokenizer.INSTANCE.tokenize(line);
        String[] tags = tagger.tag(whitespaceTokenizerLine);
       
        POSSample sample = new POSSample(whitespaceTokenizerLine, tags);
        System.out.println(sample.toString());
       
        perfMon.incrementCounter();
      }
    }
    catch (IOException e) {
      CmdLineUtil.handleStdinIoError(e);
    }
   
    perfMon.stopAndPrintFinalResult();
  }
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Related Classes of opennlp.tools.cmdline.PerformanceMonitor

  • opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
  • opennlp.tools.cmdline.chunker.ChunkerMETool
  • opennlp.tools.cmdline.coref.CoreferencerTool
  • opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
  • opennlp.tools.cmdline.doccat.DoccatTool
  • opennlp.tools.cmdline.entitylinker.EntityLinkerTool
  • opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
  • opennlp.tools.cmdline.namefind.TokenNameFinderTool
  • opennlp.tools.cmdline.parser.ParserTool
  • opennlp.tools.cmdline.postag.POSTaggerTool
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