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Determinate-information based direct syntax parsing

  • Zhong Lin Wang*
  • , Qi Yang Zhao
  • , Bao Lin Yin
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

The determinate information in Chinese sentences was analyzed and was induced to different level models. The models were formulized and different priorities were set for same level models. Using the determinate information, a new syntax parsing algorithm that needed no POS disambiguation was proposed. The algorithm parsed the determinate information, and reduced search space to get more determinate information. And by using new determinate information conducted deeper parsing, the right parsing result was finally obtained. Experiment shows that the precision and recall rate of the proposed method can achieve 92.9% and 91.47 respectively.

Original languageEnglish
Pages (from-to)131-135
Number of pages5
JournalZhongbei Daxue Xuebao (Ziran Kexue Ban)/Journal of North University of China (Natural Science Edition)
Volume29
Issue number2
StatePublished - Apr 2008

Keywords

  • Determinate information
  • Disambiguation
  • Sentence model
  • Syntax parsing

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