Using co-occurrence statistics as an information source for partial parsing of Chinese

  • Authors:
  • Elliott Franco Drábek;Qiang Zhou

  • Affiliations:
  • Tsinghua University, Beijing;Tsinghua University, Beijing

  • 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

Our partial parser for Chinese uses a learned classifier to guide a bottom-up parsing process. We describe improvements in performance obtained by expanding the information available to the classifier, from POS sequences only, to include measures of word association derived from co-occurrence statistics. We compare performance using different measures of association, and find that Yule's coefficient of colligation Y gives somewhat better results over other measures.