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Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation., , , , , , , and . AAAI, page 8854-8861. AAAI Press, (2020)Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, , , , , , , , , and 2 other author(s). (2016)cite arxiv:1611.04558.The unreasonable effectiveness of few-shot learning for machine translation., , , , , , , and . CoRR, (2023)Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents., , , , , and . ACL (1), page 4176-4192. Association for Computational Linguistics, (2022)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , and 17 other author(s). EMNLP (Findings), page 1856-1884. Association for Computational Linguistics, (2023)Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model., , , , , , and . INTERSPEECH, page 1123-1127. ISCA, (2019)The Missing Ingredient in Zero-Shot Neural Machine Translation., , , , , and . CoRR, (2019)DOCmT5: Document-Level Pretraining of Multilingual Language Models., , , and . NAACL-HLT (Findings), page 425-437. Association for Computational Linguistics, (2022)Domain Curricula for Code-Switched MT at MixMT 2022., , , and . WMT, page 1162-1169. Association for Computational Linguistics, (2022)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , and 81 other author(s). (2019)cite arxiv:1902.08295.