Using a support-vector machine for Japanese-to-English translation of tense, aspect, and modality
Masaki Murata, Kiyotaka Uchimoto, Qing Ma, Hitoshi Isahara · 2001
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.