• DocumentCode
    3277922
  • Title

    Extracting Chinese-English phrase translation pairs based on tree-tree alignment

  • Author

    Zhang, Chun-xiang ; Gao, Xue-yao ; Liu, Kun ; Sun, Da-song ; Liu, Yong ; Lv, Hong-li

  • Author_Institution
    Sch. of Software, Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    4
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    1492
  • Lastpage
    1496
  • Abstract
    Phrase translation pairs are very useful for bilingual lexicography, machine translation system, cross-lingual information retrieval and many applications in natural language processing. Linguistics knowledge in lexicon and statistics information in corpus can be used for extracting phrase translation pairs. In this paper, we propose a new method to extract phrase translation pairs based on aligning Chinese parsing tree and English parsing tree in a bilingual sentence pair. Experimental results indicate that the extracted phrase translation pairs achieve 59.10% at accuracy, when the new method is applied.
  • Keywords
    computational linguistics; feature extraction; grammars; information retrieval; language translation; natural language processing; text analysis; Chinese-English parsing tree; Chinese-English phrase translation pairs; bilingual lexicography; bilingual sentence pair; corpus; cross-lingual information retrieval; linguistics knowledge; machine translation system; natural language processing; statistics information; tree-tree alignment; Accuracy; Cybernetics; Educational institutions; Machine learning; Natural language processing; Subspace constraints; Syntactics; Phrase translation pairs; bilingual sentence pair; linguistics knowledge; natural language processing; statistics information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016965
  • Filename
    6016965