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BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training., , , , , и . ACL (1), стр. 5428-5443. Association for Computational Linguistics, (2023)Finding Sparse Structure for Domain Specific Neural Machine Translation., , , , и . CoRR, (2020)NeurST: Neural Speech Translation Toolkit., , , , и . ACL (demo), стр. 55-62. Association for Computational Linguistics, (2021)Autocorrect in the Process of Translation - Multi-task Learning Improves Dialogue Machine Translation., , , , и . NAACL-HLT (Industry Papers), стр. 105-112. Association for Computational Linguistics, (2021)Finding Sparse Structures for Domain Specific Neural Machine Translation., , , , и . AAAI, стр. 13333-13342. AAAI Press, (2021)WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research., , , , , , , , и . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Secoco: Self-Correcting Encoding for Neural Machine Translation., , , , , и . EMNLP (Findings), стр. 4639-4644. Association for Computational Linguistics, (2021)Improving Speech Translation by Fusing Speech and Text., , , , , и . EMNLP (Findings), стр. 6262-6273. Association for Computational Linguistics, (2023)Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation., , , , , и . IJCAI, стр. 2817-2823. IJCAI/AAAI Press, (2016)Rethinking Document-level Neural Machine Translation., , , , , , и . ACL (Findings), стр. 3537-3548. Association for Computational Linguistics, (2022)