Examples of opennlp.ccg.parse.postagger.ml.POSPriorModel

opennlp.ccg.parse.postagger.ml.POSPriorModel
(c) (2009) Dennis N. Mehay @author Dennis N. MehayModel for predicting p(POS | word). Uses an ARPA-formatted SRILM-trained "unigram" factored LM for this, where each "unigram" is a bundle of word:pos.

            Map<String, String> opts = ConfigFileProcessor.readInConfig(configFile, pathKeys);
            if (opts.get("taggertype").equalsIgnoreCase("dummy")) {
                return new DummyPOSTagger();
            }
            MaxentModel mem = new ZLMEM(new File(opts.get("maxentmodel")));
            POSPriorModel posPrior = null;
      if (opts.get("priormodel") != null) {
    posPrior = new POSPriorModel(opts.get("priormodel"), opts.get("priormodelvocab"));
      }
            POSTagFex fexer = new POSTagFex(posPrior);


            res = new BasicPOSTagger(mem, fexer, opts.get("sequencemodel"));
            res.setBeta(Double.parseDouble(opts.get("beta")));

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      }
    } 
  }
  public void loadPriorModel(File priorModelFile, File vocabFile) {
    try {
      priorModel = new POSPriorModel(priorModelFile.getAbsolutePath(), vocabFile.getAbsolutePath());
    } catch (IOException e) {
      System.err.println("Unable to load prior model or vocab file");
      e.printStackTrace();
    }
  }

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