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Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models.

, , , , , , , and . EACL, page 3894-3908. Association for Computational Linguistics, (2023)

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Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair., , , and . EAMT, page 229-238. (2018)Proxecto Nós: Artificial intelligence at the service of the Galician language., , , , , , , , , and 2 other author(s). SEPLN (Projects and Demonstrations), volume 3224 of CEUR Workshop Proceedings, page 26-30. CEUR-WS.org, (2022)Fuzzy-match repair using black-box machine translation systems: what can be expected?, , and . AMTA (1), page 27-39. The Association for Machine Translation in the Americas, (2016)Evaluating Self-Supervised Speech Representations for Indigenous American Languages., , , and . CoRR, (2023)A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System., and . RANLP, page 813-823. INCOMA Ltd., Shoumen, Bulgaria, (2023)Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models., , , , , , , and . EACL, page 3894-3908. Association for Computational Linguistics, (2023)WordNet-QU: Development of a Lexical Database for Quechua Varieties., , , and . COLING, page 4429-4433. International Committee on Computational Linguistics, (2022)A neural machine translation system for Galician from transliterated Portuguese text., , , and . SEPLN (Projects and Demonstrations), volume 3224 of CEUR Workshop Proceedings, page 92-95. CEUR-WS.org, (2022)Related Work Is All You Need., , and . LREC/COLING, page 13874-13878. ELRA and ICCL, (2024)Classification of US Supreme Court Cases Using BERT-Based Techniques., , and . RANLP, page 1207-1215. INCOMA Ltd., Shoumen, Bulgaria, (2023)