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An Empirical Exploration of Curriculum Learning for Neural Machine Translation., , , , , , , , и . CoRR, (2018)Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation., , , и . AMTA, стр. 157-174. Association for Machine Translation in the Americas, (2022)The JHU Machine Translation Systems for WMT 2017., , , , , и . WMT, стр. 276-282. Association for Computational Linguistics, (2017)The JHU Parallel Corpus Filtering Systems for WMT 2018., , и . WMT (shared task), стр. 896-899. Association for Computational Linguistics, (2018)Perplexity-Driven Case Encoding Needs Augmentation for CAPITALIZATION Robustness., , , и . IJCNLP (2), стр. 146-156. Association for Computational Linguistics, (2023)Simulated multiple reference training improves low-resource machine translation., , , и . EMNLP (1), стр. 82-89. Association for Computational Linguistics, (2020)SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training., и . CoRR, (2020)On-the-Fly Fusion of Large Language Models and Machine Translation., , и . CoRR, (2023)Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation., , , и . WMT, стр. 855-869. Association for Computational Linguistics, (2022)The JHU Submission to the 2020 Duolingo Shared Task on Simultaneous Translation and Paraphrase for Language Education., , , , , и . NGT@ACL, стр. 188-197. Association for Computational Linguistics, (2020)