private final POSTaggerFactory getTrainerFactory(
      final TrainingParameters params) {
    POSTaggerFactory posTaggerFactory = null;
    final String featureSet = Flags.getFeatureSet(params);
    Dictionary ngramDictionary = null;
    if (Flags.getNgramDictFeatures(params) != Flags.DEFAULT_DICT_CUTOFF) {
      ngramDictionary = createNgramDictionary(getDictSamples(),
          getNgramDictCutOff());
    }
    if (featureSet.equalsIgnoreCase("Opennlp")) {
      try {
        posTaggerFactory = POSTaggerFactory.create(
            POSTaggerFactory.class.getName(), ngramDictionary, null);
      } catch (final InvalidFormatException e) {
        e.printStackTrace();
      }
    } else {
      try {
        posTaggerFactory = POSTaggerFactory.create(
            BaselineFactory.class.getName(), ngramDictionary, null);
      } catch (final InvalidFormatException e) {
        e.printStackTrace();
      }
    }
    return posTaggerFactory;
  }
private final POSTaggerFactory getTrainerFactory ( final TrainingParameters params ) { POSTaggerFactory posTaggerFactory = null ; final String featureSet = Flags . getFeatureSet ( params ) ; Dictionary ngramDictionary = null ; if ( Flags . getNgramDictFeatures ( params ) != Flags . DEFAULT_DICT_CUTOFF ) { ngramDictionary = createNgramDictionary ( getDictSamples ( ) , getNgramDictCutOff ( ) ) ; } if ( featureSet . equalsIgnoreCase ( "Opennlp" ) ) { try { posTaggerFactory = POSTaggerFactory . create ( POSTaggerFactory . class . getName ( ) , ngramDictionary , null ) ; } catch ( final InvalidFormatException e ) { e . printStackTrace ( ) ; } } else { try { posTaggerFactory = POSTaggerFactory . create ( BaselineFactory . class . getName ( ) , ngramDictionary , null ) ; } catch ( final InvalidFormatException e ) { e . printStackTrace ( ) ; } } return posTaggerFactory ; }
Instantiate the {@code POSTaggerFactory} according to the features
specified in the parameters properties file.

@param params
the training parameters
@return the factory