Improving translation accuracy in web-based translation extraction

نویسندگان

  • Chengye Lu
  • Yue Xu
  • Shlomo Geva
چکیده

In this paper, we present some approaches to improve translation accuracy in web-based translation extraction. In previous work, the term extraction techniques that researchers used are proposed under large static corpus. We proposed some approaches that can improve the translation accuracy in web-based translation extraction which relies on small dynamic small corpus. We also analyzed the difference in using local text corpus and web corpus as disambiguation source.

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تاریخ انتشار 2007