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The unreasonable effectiveness of few-shot learning for machine translation., , , , , , , и . CoRR, (2023)Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation., , , , , , , и . AAAI, стр. 8854-8861. AAAI Press, (2020)Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, , , , , , , , , и 2 other автор(ы). (2016)cite arxiv:1611.04558.Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents., , , , , и . ACL (1), стр. 4176-4192. Association for Computational Linguistics, (2022)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , и 17 other автор(ы). EMNLP (Findings), стр. 1856-1884. Association for Computational Linguistics, (2023)Direct Speech-to-Speech Translation with a Sequence-to-Sequence Model., , , , , , и . INTERSPEECH, стр. 1123-1127. ISCA, (2019)Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, , , , , , , , , и 21 other автор(ы). (2016)cite arxiv:1609.08144.MergeDistill: Merging Language Models using Pre-trained Distillation., , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2874-2887. Association for Computational Linguistics, (2021)nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?, , , , , и . ACL/IJCNLP (2), стр. 683-691. Association for Computational Linguistics, (2021)Mu2SLAM: Multitask, Multilingual Speech and Language Models., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 5504-5520. PMLR, (2023)