• DocumentCode
    2259479
  • Title

    Research on Katakana phrase translation based on bi-directional integration

  • Author

    Zhang, Guiping ; Gao, Yonglei ; Ji, Duo ; Ren, Xiaona

  • Author_Institution
    Knowledge Eng. Res. Center, Shenyang Inst. of Aeronaut. Eng., Shenyang, China
  • fYear
    2009
  • fDate
    24-27 Sept. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In order to solve the problem of Katakana reduced to English in Japanese-English translation, we employ the phrase-based statistical machine translation model to perform Katakana phrase (or word) translation from Japanese to English. The Katakana phrase is segmented into words by CRF, and then Japanese-English and English-Japanese bi-directional integration translation is carried out on those segmented results. The translated results of all the segmented words are comprehensively scored to obtain the best English phrase translation result. The experimental results indicate that the Katakana phrase translation precision reaches 76%, effectively addresses the problem of the Katakana reduced to English.
  • Keywords
    computational linguistics; language translation; natural language processing; statistical analysis; text analysis; Japanese-English translation; Katakana phrase translation; Katakana word translation; bidirectional integration; phrase-based statistical machine translation; word segmentation; Aerospace engineering; Bidirectional control; Dictionaries; Knowledge engineering; Natural languages; Terminology; Bi-directional Integration; Katakana; Phrase-based Statistical Machine Translation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-4538-7
  • Electronic_ISBN
    978-1-4244-4540-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2009.5313753
  • Filename
    5313753