論文 ·日本語 ·未確認
用例ベースによるテンス·アスペクト·モダリティの日英翻訳
村田 真樹 ・ 馬 青 ・ 内元 清貴 ・ 井佐原 均 ・ Masaki Murata ・ Qing Ma ・ Kiyotaka Uchimoto ・ Hitoshi Isahara
- 刊行年
- 2001
- 収録
- 『人工知能学会論文誌』 16(1) pp. 20-28
- 出版
- The Japanese Society for Artificial Intelligence
- 言語
- 日本語・英語
- DOI
- 10.1527/tjsai.16.20
- ISSN
- 1346-0714
- J-STAGE
- tjsai
- OpenAlex
- W1760548398
- MAG
- 1760548398
- URL
- https://www.jstage.jst.go.jp/article/tjsai/16/1/16_1_20/_article/-char/ja/
要旨
We have developed a new method for Japanese-to-English translation of tense, aspect, and modality that uses an example-based method. In this method the similarity between input and example sentences is defined as the degree of semantic matching between the expressions at the ends of the sentences. Our method also uses the k-nearest neighbor method in order to exclude the effects of noise; for example, wrongly tagged data in the bilingual corpora. Experiments show that our method can translate tenses, aspects, and modalities more accurately than the top-level MT software currently available on the market can. Moreover, it does not require hand-craft rules.
主題
この書誌の出所
- jstage— 10.1527/tjsai.16.20（2026-08-12取得）
- openalex— W1760548398（2026-08-14取得）
引用
村田 真樹・馬 青・内元 清貴・井佐原 均・Masaki Murata・Qing Ma・Kiyotaka Uchimoto・Hitoshi Isahara（2001） 用例ベースによるテンス·アスペクト·モダリティの日英翻訳 『人工知能学会論文誌』 16(1) pp. 20-28 The Japanese Society for Artificial Intelligence