public static void main ( String [ ] argvs ) { List < String [ ] > sentences = new ArrayList <> ( ) ; List < PennTreebankPOS [ ] > labels = new ArrayList <> ( ) ; load ( "D:\\sourceforge\\corpora\\PennTreebank\\PennTreebank2\\TAGGED\\POS\\WSJ" , sentences , labels ) ; load ( "D:\\sourceforge\\corpora\\PennTreebank\\PennTreebank2\\TAGGED\\POS\\BROWN" , sentences , labels ) ; String [ ] [ ] x = sentences . toArray ( new String [ sentences . size ( ) ] [ ] ) ; PennTreebankPOS [ ] [ ] y = labels . toArray ( new PennTreebankPOS [ labels . size ( ) ] [ ] ) ; HMMPOSTagger tagger = HMMPOSTagger . learn ( x , y ) ; try { FileOutputStream fos = new FileOutputStream ( "hmmpostagger.model" ) ; ObjectOutputStream oos = new ObjectOutputStream ( fos ) ; oos . writeObject ( tagger ) ; oos . flush ( ) ; oos . close ( ) ; } catch ( Exception ex ) { logger . error ( "Failed to save HMM POS model" , ex ) ; } }
Train the default model on WSJ and BROWN datasets .