1 code implementation • WS 2017 • Aizhan Imankulova, Takayuki Sato, Mamoru Komachi
Large-scale parallel corpora are indispensable to train highly accurate machine translators.
Language Modelling Low-Resource Neural Machine Translation +2
no code implementations • IJCNLP 2017 • Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi
This study reports an attempt to predict the voice of reference using the information from the input sentences or previous input/output sentences.
1 code implementation • 26 Jun 2017 • Yukio Matsumura, Takayuki Sato, Mamoru Komachi
We confirm that our re-implementation also shows the same tendency and alleviates the problem of repeating and missing words in the translation on a English-Japanese task too.
no code implementations • WS 2016 • Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi
The results showed that, we could control the voice of the generated sentence with 85. 0{\%} accuracy on average.
no code implementations • WS 2016 • Takayuki Sato, Jun Harashima, Mamoru Komachi
However, little work has been done on machine translation of recipe texts.
Cultural Vocal Bursts Intensity Prediction Information Retrieval +2