Papers with translation training
Pretrained Bidirectional Distillation for Machine Translation (2023.acl-long)
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| Challenge: | Existing studies have focused on language knowledge transfer from pretrained models to neural machine translation models. |
| Approach: | They propose to use masked language pretraining to efficiently transfer bidirectional language knowledge to NMT models. |
| Outcome: | The proposed method can significantly improve machine translation performance and achieve competitive or even better results than previous methods. |