Using a Support-Vector Machine for Japanese-to-English Translation of Tense, Aspect, and Modality
Murata, Masaki · Uchimoto, Kiyotaka · Ma, Qing · Isahara, Hitoshi
Original · EN
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.
English translation
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