计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (20): 99-102.DOI: 10.3778/j.issn.1002-8331.2010.20.028

• 数据库、信号与信息处理 • 上一篇    下一篇

英汉机器翻译系统中的词性标注研究

王永生   

  1. 同济大学 出国培训学院,上海 200092
  • 收稿日期:2009-04-22 修回日期:2009-06-22 出版日期:2010-07-11 发布日期:2010-07-11
  • 通讯作者: 王永生

Research on part-of-speech tagging using decision trees in English-Chinese machine translation system

WANG Yong-sheng   

  1. International Education College of Tongji University,Shanghai 200092,China
  • Received:2009-04-22 Revised:2009-06-22 Online:2010-07-11 Published:2010-07-11
  • Contact: WANG Yong-sheng

摘要: 词性标注是英汉机器翻译系统中一个基础性的研究课题。提出了一种基于决策树的词性标注的非监督学习算法,在只有一个词库的有限条件下,通过决策树进行词性标注的非监督学习,生成词性标注规则。

关键词: 英汉机器翻译, 词性标注, 决策树

Abstract: Part-of-speech is fundamental to English-Chinese machine translation.This paper describes an unsupervised learning of part-of-speech tagging using decision trees,only under the condition of a lexicon.

Key words: English-Chinese machine translation, part-of-speech tagging, decision tree

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