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Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages., , and . EMNLP (Findings), page 2101-2112. Association for Computational Linguistics, (2022)No Language Left Behind: Scaling Human-Centered Machine Translation., , , , , , , , , and 28 other author(s). CoRR, (2022)Beyond English-Centric Multilingual Machine Translation., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2021)Low Bandwidth Video-Chat Compression using Deep Generative Models., , , , , , , , , and 2 other author(s). CoRR, (2020)stopes - Modular Machine Translation Pipelines., , , , , , , , , and . EMNLP (Demos), page 258-265. Association for Computational Linguistics, (2022)xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages., , , , and . ACL (2), page 101-109. Association for Computational Linguistics, (2023)Self-training Improves Pre-training for Natural Language Understanding., , , , , , , and . NAACL-HLT, page 5408-5418. Association for Computational Linguistics, (2021)Low Bandwidth Video-Chat Compression Using Deep Generative Models., , , , , , , , , and 1 other author(s). CVPR Workshops, page 2388-2397. Computer Vision Foundation / IEEE, (2021)