ZHANG Hong, REN Fuji. Chinese POS Tagging Using Restricted MaximumEntropy Model[J]. Chinese Journal of Electronics, 2010, 19(1): 39-42.
Citation: ZHANG Hong, REN Fuji. Chinese POS Tagging Using Restricted MaximumEntropy Model[J]. Chinese Journal of Electronics, 2010, 19(1): 39-42.

Chinese POS Tagging Using Restricted MaximumEntropy Model

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2010-01-05
  • This paper presents Chinese Part-of-speech
    (POS) tagging using maximum entropy technique, in which
    we introduce a novel gain-driven method for feature selec-
    tion, then we describe the restricted training method for
    model learning. We test our approach on the simpli¯ed
    Chinese corpus of Peking University China and achieve an
    accuracy of 97.80% and 98.60% over ¯ne and coarse grained
    tag set - a signi¯cant improvement over the existing Chi-
    nese POS tagger.
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    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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