Papers by Kazunori Yamaguchi
Compact and Robust Models for Japanese-English Character-level Machine Translation (D19-52)
Copied to clipboard
| Challenge: | In recent years, neural machine translation (NMT) has made a great progress, and its translation quality has far surpassed the conventional statistical machine translation. |
| Approach: | They propose a character-level translation model which is mid-gated and multi-attention model for Japanese-English translation and propose to train them using a relatively narrow beam of width 4 or 5 . |
| Outcome: | The proposed models can translate the word containing Katakana by coining out a close word, and the model can produce tolerable results for noised sentences. |