Kyoto University Participation to WAT 2017
نویسندگان
چکیده
We describe here our approaches and results on the WAT 2017 shared translation tasks. Motivated by the good results we obtained with Neural Machine Translation in the previous shared task, we continued to explore this approach this year, with incremental improvements in models and training methods. We focused on the ASPEC dataset and could improve the stateof-the-art results for Chinese-to-Japanese and Japanese-to-Chinese translations.
منابع مشابه
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