Package opennlp.tools.parser

Examples of opennlp.tools.parser.PosSampleStream

447
448
449
450
451
452
453
454
455
456
457
    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
        parseSamples), mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
View Full Code Here
299
300
301
302
303
304
305
306
307
308
309
    mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build");
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),
        mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
View Full Code Here
298
299
300
301
302
303
304
305
306
307
308
    mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build");
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),
        mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
View Full Code Here
447
448
449
450
451
452
453
454
455
456
457
    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
        parseSamples), mlParams.getParameters("tagger"), null, null);
   
    parseSamples.reset();
   
    // chunk
View Full Code Here
295
296
297
298
299
300
301
302
303
304
305
        hsbes.calculateHashSum().toString(16));
   
    parseSamples.reset();
   
    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),
        ModelType.MAXENT, null, null, cut, iterations);
   
    parseSamples.reset();
   
    // chunk
View Full Code Here
411
412
413
414
415
416
417
418
419
420
421
      mdict.serialize(new FileOutputStream(dictFile));
    }
   
    if (tag || all) {
      System.err.println("Training tagger");
      ObjectStream<POSSample> tes = new PosSampleStream(new ParseSampleStream(new PlainTextByLineStream(new java.io.FileReader(inFile))));
      POSModel posModel = POSTaggerME.train("en", tes, ModelType.MAXENT, null, null, cutoff, 100);
      System.out.println("Saving the tagger model as: " + tagFile);
      OutputStream posOutputStream = new FileOutputStream(tagFile);
      posModel.serialize(posOutputStream);
      posOutputStream.close();
View Full Code Here
442
443
444
445
446
447
448
449
450
451
452
    Dictionary mdict = buildDictionary(parseSamples, rules, mlParams);

    parseSamples.reset();

    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
        parseSamples), mlParams.getParameters("tagger"), null, null);

    parseSamples.reset();

    // chunk
View Full Code Here
285
286
287
288
289
290
291
292
293
294
295
    mergeReportIntoManifest(manifestInfoEntries, buildReportMap, "build");

    parseSamples.reset();

    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(parseSamples),
        mlParams.getParameters("tagger"), null, null);

    parseSamples.reset();

    // chunk
View Full Code Here
442
443
444
445
446
447
448
449
450
451
452
    Dictionary mdict = buildDictionary(parseSamples, rules, cut);

    parseSamples.reset();

    // tag
    POSModel posModel = POSTaggerME.train(languageCode, new PosSampleStream(
        parseSamples), ModelType.MAXENT, null, null, cut, iterations);

    parseSamples.reset();

    // chunk
View Full Code Here
TOP

Related Classes of opennlp.tools.parser.PosSampleStream

  • opennlp.tools.parser.chunking.Parser
  • opennlp.tools.parser.treeinsert.Parser
  • opennlp.tools.postag.POSSample
    • 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.