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Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text.

, , и . CoRR, (2023)

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , и 81 other автор(ы). (2019)cite arxiv:1902.08295.Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus., , , и . COLING, стр. 6588-6608. International Committee on Computational Linguistics, (2020)Investigating Multilingual NMT Representations at Scale., , , и . EMNLP/IJCNLP (1), стр. 1565-1575. Association for Computational Linguistics, (2019)Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation., , и . ACL (1), стр. 1282-1292. Association for Computational Linguistics, (2019)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)Text Repair Model for Neural Machine Translation., , и . CoRR, (2019)GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation., , , и . EMNLP, стр. 371-405. Association for Computational Linguistics, (2023)Connecting Language Technologies with Rich, Diverse Data Sources Covering Thousands of Languages., , , , , , и . LREC/COLING, стр. 3729-3746. ELRA and ICCL, (2024)Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets., , , , , , , , , и 42 other автор(ы). Trans. Assoc. Comput. Linguistics, (2022)Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text., , и . CoRR, (2023)