| Challenge: | Existing studies show that the lack of recurrence modeling hinders the development of a translation model. |
| Approach: | They propose to model recurrence for Transformer with an additional recurrent encoder. |
| Outcome: | The proposed model outperforms the deep model on EnglishGerman and ChineseEnglish translation tasks. |
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Recurrent Positional Embedding for Neural Machine Translation (D19-1)
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Self-Attentive Residual Decoder for Neural Machine Translation (N18-1)
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Learning Deep Transformer Models for Machine Translation (P19-1)
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