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Hints on the data for language modeling of synthetic languages with transformers., и . ACL (1), стр. 12508-12522. Association for Computational Linguistics, (2023)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , и 51 other автор(ы). IWSLT@ACL, стр. 1-61. Association for Computational Linguistics, (2023)Findings of the Second AmericasNLP Competition on Speech-to-Text Translation., , , , , , , , , и 24 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 217-232. PMLR, (2021)Evaluating Self-Supervised Speech Representations for Indigenous American Languages., , , и . CoRR, (2023)WordNet-QU: Development of a Lexical Database for Quechua Varieties., , , и . COLING, стр. 4429-4433. International Committee on Computational Linguistics, (2022)Huqariq: A Multilingual Speech Corpus of Native Languages of Peru forSpeech Recognition., , и . LREC, стр. 5029-5034. European Language Resources Association, (2022)Automatic Speech Recognition of Quechua Language Using HMM Toolkit., , и . SIMBig, том 1070 из Communications in Computer and Information Science, стр. 61-68. Springer, (2019)Frequency Balanced Datasets Lead to Better Language Models., , и . EMNLP (Findings), стр. 7859-7872. Association for Computational Linguistics, (2023)Data Augmentation for Low-Resource Quechua ASR Improvement., , , , и . INTERSPEECH, стр. 3518-3522. ISCA, (2022)QUESPA Submission for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks., , и . IWSLT@ACL, стр. 261-268. Association for Computational Linguistics, (2023)