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

DOI DOI Web Site Web Site Web Site ほか1件をすべて表示 一部だけ表示 参考文献33件
  • 篠山 学
    徳島大学大学院工学研究科情報システム工学
  • 黒岩 眞吾
    千葉大学大学院融合科学研究科情報科学
  • 任 福継
    徳島大学大学院工学研究科情報システム工学

書誌事項

タイトル別名
  • Extracting Date/Time Expressions in Super-Function Based Japanese-English Machine Translation
  • 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
  • Extracting date/time expressions in super‐function based Japanese–English machine translation

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説明

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%.

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