Extracting Date/Time Expressions in Super-Function Based Japanese-English Machine Translation

DOI Web Site Web Site 29 References
  • Sasayama Manabu
    Faculty of Engineering, The University of Tokushima
  • Kuroiwa Shingo
    Chiba University Graduate School & Faculty of Engineering
  • Ren Fuji
    Faculty of Engineering, The University of Tokushima School of Information Engineering, Beijing University of Posts and Telecommunications

Bibliographic Information

Other Title
  • Ｓｕｐｅｒ‐Ｆｕｎｃｔｉｏｎに基づく日英機械翻訳における日付・時間表現の抽出
  • Super-Functionに基づく日英機械翻訳における日付・時間表現の抽出
  • Super Function ニ モトズク ニチエイ キカイ ホンヤク ニ オケル ヒズケ ジカン ヒョウゲン ノ チュウシュツ

Search this article

Abstract

Super-Function Based Machine Translation(SFBMT) which is a type of Example-Based Machine Translation has a feature which makes it possible to expand the coverage of examples by changing nouns into variables, however, there were problems extracting entire date/time expressions containing parts-of-speech other than nouns, because only nouns/numbers were changed into variables. We describe a method for extracting date/time expressions for SFBMT. SFBMT uses noun determination rules to extract nouns and a bilingual dictionary to obtain correspondence of the extracted nouns between the source and the target languages. In this method, we add a rule to extract date/time expressions and then extract date/time expressions from a Japanese-English bilingual corpus. The evaluation results shows that the precision of this method for Japanese sentences is 96.7%, with a recall of 98.2% and the precision for English sentences is 94.7%, with a recall of 92.7%.

Journal

References(29)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top