Papers with IWSLT Chinese-English
Sentence Weighting for Neural Machine Translation Domain Adaptation (C18-1)
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| Challenge: | Neural machine translation (NMT) has achieved satisfactory performance on many language pairs with various advantages over statistical machine translation. |
| Approach: | They propose a new sentence weighting method for the domain adaptation of neural machine translation that uses a domain similarity metric to evaluate the relevance of sentences to the target domain. |
| Outcome: | The proposed method achieves significant improvement over baselines on Chinese-English TED task and synthetic training task with only synthetic training parallel data. |