Papers by Shintaro Harada
Neural Machine Translation with Synchronous Latent Phrase Structure (2021.acl-srw)
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| Challenge: | grammatical information annotation requires high human resources and is not trivial due to language mismatches and out-of-vocabulary problem. |
| Approach: | They propose to incorporate grammatical information without supervising annotation by induced latent phrase structure and synchronized phrase structures in encoder and decoder to enhance explainability. |
| Outcome: | The proposed method produces better performance and explainability in translation and alignment tasks without extra resources. |