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Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation.

, , , , , and . EMNLP/IJCNLP (1), page 1527-1537. Association for Computational Linguistics, (2019)

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Modeling Fluency and Faithfulness for Diverse Neural Machine Translation., , , , , , and . CoRR, (2019)Modeling Fluency and Faithfulness for Diverse Neural Machine Translation., , , , , , and . AAAI, page 59-66. AAAI Press, (2020)Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation., and . COLING, page 4315-4326. International Committee on Computational Linguistics, (2020)Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping., and . EMNLP (Findings), page 6492-6504. Association for Computational Linguistics, (2022)Improving Multi-head Attention with Capsule Networks., and . NLPCC (1), volume 11838 of Lecture Notes in Computer Science, page 314-326. Springer, (2019)Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings., and . CoRR, (2022)Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation., , , , and . ACL/IJCNLP (1), page 2862-2872. Association for Computational Linguistics, (2021)Enhancing Neural Machine Translation with Semantic Units., , , and . EMNLP (Findings), page 2264-2277. Association for Computational Linguistics, (2023)Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation., , and . NAACL-HLT, page 3942-3952. Association for Computational Linguistics, (2021)Improving Domain Adaptation Translation with Domain Invariant and Specific Information., , and . NAACL-HLT (1), page 3081-3091. Association for Computational Linguistics, (2019)