Package opennlp.tools.ml.model

Examples of opennlp.tools.ml.model.Event

67
68
69
70
71
72
73
74
75
76
77
        // it is safe to pass the tags as previous tags because
        // the context generator does not look for non predicted tags
        String[] context = pcg.getContext(i, sentence, tags, null);

        events[i] = new Event(tags[i], context);
      }
      Sequence<POSSample> sequence = new Sequence<POSSample>(events,sample);
      return sequence;
    }
View Full Code Here
32
33
34
35
36
37
38
39
40
41
42
43
44
45
    this.writer = writer;
  }


  public Event read() throws IOException {
    Event event = samples.read();

    if (event != null) {
      writer.write(event.toString());
      writer.write("\n");
    }

    return event;
  }
View Full Code Here
108
109
110
111
112
113
114
115
116
117
118
  }

  public static List<Event> generateEvents(String[] sentence, String[] outcomes, NameContextGenerator cg) {
    List<Event> events = new ArrayList<Event>(outcomes.length);
    for (int i = 0; i < outcomes.length; i++) {
      events.add(new Event(outcomes[i], cg.getContext(i, sentence, outcomes,null)));
    }

    cg.updateAdaptiveData(sentence, outcomes);

    return events;
View Full Code Here
49
50
51
52
53
54
55
56
57
58
59
        // it is safe to pass the tags as previous tags because
        // the context generator does not look for non predicted tags
        String[] context = contextGenerator.getContext(i, sentence, tags, null);

        events[i] = new Event(tags[i], context);
      }
      return new Sequence<ChunkSample>(events,sample);
    }

    return null;
View Full Code Here
60
61
62
63
64
65
66
67
68
69
70
      List<Event> events = new ArrayList<Event>();
      String[] toksArray = sample.getSentence();
      String[] tagsArray = sample.getTags();
      String[] predsArray = sample.getPreds();
      for (int ei = 0, el = sample.getSentence().length; ei < el; ei++) {
        events.add(new Event(predsArray[ei], cg.getContext(ei,toksArray,tagsArray,predsArray)));
      }

      return events.iterator();
    }
    else {
View Full Code Here
58
59
60
61
62
63
64
65
66
67
68
   */
  public Event next () {
    while (next == null && this.ds.hasNext())
      next = createEvent((String)this.ds.nextToken());

    Event current = next;
    if (this.ds.hasNext()) {
      next = createEvent((String)this.ds.nextToken());
    }
    else {
      next = null;
View Full Code Here
84
85
86
87
88
89
90
91
  private Event createEvent(String obs) {
    int lastSpace = obs.lastIndexOf(separator);
    if (lastSpace == -1)
      return null;
    else
      return new Event(obs.substring(lastSpace+1),
          cg.getContext(obs.substring(0, lastSpace)));
  }
View Full Code Here
49
50
51
52
53
54
55
56
    if (lastSpace == -1)
      return null;
    else {
      String[] contexts = obs.substring(0,lastSpace).split("\\s+");
      float[] values = RealValueFileEventStream.parseContexts(contexts);
      return new Event(obs.substring(lastSpace+1),contexts,values);
    }
  }
View Full Code Here
70
71
72
73
74
75
76
77
78
79
80
      public Event next() {

        isVirgin = false;

        return new Event(sample.getCategory(),
            mContextGenerator.getContext(sample.getText(), sample.getExtraInformation()));
      }

      public void remove() {
        throw new UnsupportedOperationException();
View Full Code Here
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
            for (int ti = firstTrainingToken; ti <= lastTrainingToken; ti++) {
              Span tSpan = tokens[ti];
              int cStart = cSpan.getStart();
              for (int i = tSpan.getStart() + 1; i < tSpan.getEnd(); i++) {
                String[] context = cg.getContext(ctok, i - cStart);
                events.add(new Event(TokenizerME.NO_SPLIT, context));
              }

              if (tSpan.getEnd() != cSpan.getEnd()) {
                String[] context = cg.getContext(ctok, tSpan.getEnd() - cStart);
                events.add(new Event(TokenizerME.SPLIT, context));
              }
            }
          }
        }
      }
View Full Code Here
TOP

Related Classes of opennlp.tools.ml.model.Event

  • opennlp.tools.chunker.ChunkerEventStream
  • opennlp.tools.chunker.ChunkSampleSequenceStream
  • opennlp.tools.doccat.DocumentCategorizerEventStream
  • opennlp.tools.ml.maxent.BasicEventStream
  • opennlp.tools.ml.maxent.RealBasicEventStream
  • opennlp.tools.ml.PrepAttachDataUtil
  • opennlp.tools.namefind.NameFinderEventStream
  • opennlp.tools.namefind.NameSampleSequenceStream
  • opennlp.tools.parser.AbstractParserEventStream
  • opennlp.tools.parser.chunking.ParserEventStream
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.