• DocumentCode
    2099680
  • Title

    Chinese Partial Parsing with Modal Finite-State Approach

  • Author

    Zhao, Yiqiang ; Zeng, Junfang ; Yang, Yiping

  • Author_Institution
    Res. Center of Integrated Inf. Syst., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    729
  • Lastpage
    733
  • Abstract
    A novel finite-state approach with the practical use of modal operators for Chinese partial parsing is presented in this paper. The traditional rule-based partial parsing approaches make use of regular grammar to approximate the context free or simplified context sensitive grammar with some loss of descriptive ability. Until now, how to solve the non-categorical problem within rule-based paradigm has not been reported, except for adding probability to grammars. In the approach presented in this paper, basic modal operators, necessity and possibility, are introduced into classic regular grammar. The technique of using such grammar to partially parse the free Chinese text is also discussed in detail. The experimental results suggest that the proposed approach can achieve Chinese partial parsing well and give a considerable performance improvement compared to traditional finite-state approach. A new application in natural language processing of modal logic is revealed through this paper.
  • Keywords
    context-free grammars; context-sensitive grammars; natural language processing; Chinese partial parsing; context free grammar; free Chinese text; modal finite-state approach; modal logic; modal operators; natural language processing; noncategorical problem; rule-based paradigm; rule-based partial parsing; simplified context sensitive grammar; Automation; Computer science; Hidden Markov models; Information analysis; Information retrieval; Information systems; Logic; Machine learning algorithms; Natural language processing; Natural languages; Chinese; finite-state approach; modal; partial parsing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.10
  • Filename
    4731726