A part-of-speech tagger using averaged perceptrong and tagging history

You first should prepare 4 files:

• Preliminary segmented word corpus (train.words, dev.words)
• POS corpus corresponding above words (train.pos, dev.pos)

To train the tagging model using:

• Word unigram

• POS bigram

• Word window with width = 3

• 5 POS histories,

• 10 training epoch run below:

  postagger-train.py train dev model 1 2 3 5 10

• Yusuke Oda (@odashi)

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