• DocumentCode
    644010
  • Title

    Identification of V+N compound nouns in Chinese-English machine translation based on rules in patent texts

  • Author

    He Zhou ; Yun Zhu ; Yaohong Jin

  • Author_Institution
    Inst. of Chinese Inf. Process., Beijing Normal Univ., Beijing, China
  • Volume
    03
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 1 2012
  • Firstpage
    1485
  • Lastpage
    1490
  • Abstract
    We address the problem of exclusion of verbs in sentences which are not predicates in Machine Translation and V+N compound nouns are the most apparent phenomena. We propose several identification rules based on HNC theory to lower the error rate of predicate-identification and verb-translation. Result is got by testing in existing MT system, which has a precision of 83.22% and a recall of 65.56%. And the result is valid to the identification and translation of Eigen Chunk1.
  • Keywords
    language translation; text analysis; Chinese-English machine translation; HNC theory; V+N compound nouns identification; eigen chunk; identification rules; patent text rules; predicate-identification; verb-translation; Abstracts; Compounds; Context; Materials; Patents; Technological innovation; Time-frequency analysis; V+N compound nouns; identification; machine translation; rule based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-1855-6
  • Type

    conf

  • DOI
    10.1109/CCIS.2012.6664632
  • Filename
    6664632