Statistics based hybrid approach to Chinese base phrase identification

  • Authors:
  • Tie-jun Zhao;Mu-yun Yang;Fang Liu;Jian-min Yao;Hao Yu

  • Affiliations:
  • Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology;Harbin Institute of Technology

  • Venue:
  • CLPW '00 Proceedings of the second workshop on Chinese language processing: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 12
  • Year:
  • 2000

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Abstract

This paper extends the base noun phrase (BNP) identification into a research on Chinese base phrase identification. After briefly introducing some basic concepts on Chinese base phrase, this paper presents a statistics based hybrid model for identifying 7 types of Chinese base phrases in view. Experiments show the efficiency of the proposed method in simplifying sentence structure. Significance of the research lies in it provides a solid foundation for the Chinese parser.