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Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.

, , , , , and . ACL (1), page 3013-3024. Association for Computational Linguistics, (2019)

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Rephrasing the Reference for Non-Autoregressive Machine Translation., , , and . CoRR, (2022)Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation., , , , and . AAAI, page 198-205. AAAI Press, (2020)Modeling Coverage for Non-Autoregressive Neural Machine Translation., , and . IJCNN, page 1-8. IEEE, (2021)Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation., , , , and . CoRR, (2019)Integrating Reconstructor and Post-Editor into Neural Machine Translation., , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 22 (6): 163:1-163:15 (June 2023)Modeling Fluency and Faithfulness for Diverse Neural Machine Translation., , , , , , and . CoRR, (2019)Non-autoregressive Machine Translation with Probabilistic Context-free Grammar., , , , , and . CoRR, (2023)Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation., and . ACL (1), page 2023-2036. Association for Computational Linguistics, (2022)Modeling Fluency and Faithfulness for Diverse Neural Machine Translation., , , , , , and . AAAI, page 59-66. AAAI Press, (2020)Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation., , and . EMNLP (Findings), page 4390-4397. Association for Computational Linguistics, (2022)