Encoder and Decoder, Not One Less for Pre-trained Language Model Sponsored NMT (2023.findings-acl)
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| Challenge: | Existing methods for neural machine translation (NMT) use encoder-only enhancement or rely on specific multilingual PLMs. |
| Approach: | They propose a monolingual PLM-sponsored NMT model that lets both encoder and decoder enjoy PLM enhancement. |
| Outcome: | The proposed model improves on IWSLT14 En-De, De-En, WMT14 En -De and En-Fr tasks and achieves new state-of-the-art. |
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