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Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model.

, , and . ACL (1), page 3567-3585. Association for Computational Linguistics, (2023)

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Neural Machine Translation Architectures and Applications. (Traduction neuronale : architectures et applications).. University of Lille, France, (2018)Multilingual Unsupervised Neural Machine Translation with Denoising Adapters., , , and . EMNLP (1), page 6650-6662. Association for Computational Linguistics, (2021)Understanding and Mitigating Language Confusion in LLMs., , , , and . CoRR, (2024)Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task., , and . WMT (2), page 526-532. Association for Computational Linguistics, (2019)End-to-End Automatic Speech Translation of Audiobooks., , , and . CoRR, (2018)Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation, , , and . (2016)cite arxiv:1612.01744Comment: accepted to NIPS workshop on End-to-end Learning for Speech and Audio Processing.SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages., , , , , and . EMNLP, page 8348-8359. Association for Computational Linguistics, (2022)Efficient Inference for Multilingual Neural Machine Translation., , , , and . EMNLP (1), page 8563-8583. Association for Computational Linguistics, (2021)A Multilingual Neural Machine Translation Model for Biomedical Data., , , , and . NLP4COVID@EMNLP, Association for Computational Linguistics, (2020)Unwritten languages demand attention too! Word discovery with encoder-decoder models., , , and . ASRU, page 458-465. IEEE, (2017)