• DocumentCode
    547341
  • Title

    An efficient similarity measure algorithm of Chinese sentence

  • Author

    Ning, Changying ; Wang, Rongbo ; Chen, Zhiqun ; Lu, Bei

  • Author_Institution
    Inst. of Comput. Applic. Technol., Hangzhou Dianzi Univ., Hangzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    Chinese sentence similarity measures are widely used in the field of Chinese information processing. Considering practical application environment of Chat Robot and its response speed requirements, this paper presents an efficient similarity measure for Chinese sentence. In this method, a weight is assigned to the length of matched sequence strings. The longer the length of matched sequence strings, the greater the weight assigned to length, which means more similar the two compared sentences. The experimental results indicate that, compared to that of Baidu-knows, the proposed method is more reasonable and more feasible.
  • Keywords
    natural language processing; string matching; Baidu-knows; Chinese information processing; Chinese sentence similarity measures; chat robot; matched sequence strings; response speed requirements; similarity measure algorithm; Filtering; Noise; Real time systems; Road transportation; Robots; Semantics; Sparse matrices; Baidu-knows; Chinese information processing; chat robot; sentence similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952703
  • Filename
    5952703