論文 ·用例に日本語 ·未確認
Using a support-vector machine for Japanese-to-English translation of tense, aspect, and modality
Masaki Murata ・ Kiyotaka Uchimoto ・ Qing Ma ・ Hitoshi Isahara
- 刊行年
- 2001-01-01
- 言語
- 英語
- OpenAlex
- W2034424156
- DOI
- 10.3115/1118037.1118052
- MAG
- 2034424156
- URL
- https://dl.acm.org/doi/pdf/10.3115/1118037.1118052
要旨
This paper describes experiments carried out using a variety of machine-learning methods, including the k-nearest neighborhood method that was used in a previous study, for the translation of tense, aspect, and modality. It was found that the support-vector machine method was the most precise of all the methods tested.
主題
この書誌の出所
- openalex— W2034424156（2026-08-14取得）
引用
Masaki Murata・Kiyotaka Uchimoto・Qing Ma・Hitoshi Isahara（2001-01-01） Using a support-vector machine for Japanese-to-English translation of tense, aspect, and modality 14 pp. 1-8
Murata2001UsingSupportVector