Papers with Tanaka corpus
Japanese Predicate Conjugation for Neural Machine Translation (N18-4)
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| Challenge: | Neural machine translation (NMT) has a drawback in that it can generate only high-frequency words owing to the computational costs of the softmax function in the output layer. |
| Approach: | They propose two methods to generate low-frequency words and deal with unknown words using Japanese predicate conjugation information without discarding linguistic information. |
| Outcome: | The proposed methods can generate low-frequency words and deal with unknown words. |