The whole process was divided into two steps.First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step.

 
  • 整個(gè)識別過(guò)程主要分成兩個(gè)步驟,首先使用隱馬爾可夫模型進(jìn)行詞性標注,然后利用具有優(yōu)先級別的匹配規則對第一步的結果進(jìn)行修正和轉換。
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