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Uncertainty-Aware Curriculum Learning for Neural Machine Translation.

, , , , and . ACL, page 6934-6944. Association for Computational Linguistics, (2020)

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Modeling Recurrence for Transformer., , , , , and . NAACL-HLT (1), page 1198-1207. Association for Computational Linguistics, (2019)UniTE: Unified Translation Evaluation., , , , , , and . ACL (1), page 8117-8127. Association for Computational Linguistics, (2022)Multi-Hop Transformer for Document-Level Machine Translation., , , , , and . NAACL-HLT, page 3953-3963. Association for Computational Linguistics, (2021)Frequency-Aware Contrastive Learning for Neural Machine Translation., , , , , , , , , and . CoRR, (2021)Qwen2 Technical Report., , , , , , , , , and 52 other author(s). CoRR, (2024)Leveraging the Advantages of Associative Alignment Methods for PB-SMT Systems., and . LTC, volume 10930 of Lecture Notes in Computer Science, page 214-228. Springer, (2015)Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation., , , , , , , and . NAACL-HLT (Findings), page 2622-2632. Association for Computational Linguistics, (2022)Neuron Interaction Based Representation Composition for Neural Machine Translation., , , , , and . AAAI, page 8204-8211. AAAI Press, (2020)Modeling Localness for Self-Attention Networks., , , , , and . EMNLP, page 4449-4458. Association for Computational Linguistics, (2018)Attention Mechanism with Energy-Friendly Operations., , , , , , , and . ACL (Findings), page 3969-3976. Association for Computational Linguistics, (2022)