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ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks.

, , , , , , , , , , and . IWSLT@ACL, page 308-318. Association for Computational Linguistics, (2022)

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Findings of the IWSLT 2022 Evaluation Campaign., , , , , , , , , and 33 other author(s). IWSLT@ACL, page 98-157. Association for Computational Linguistics, (2022)Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low-Resource Translation., and . LoResMT@AMTA, page 1-11. Association for Machine Translation in the Americas, (2018)Customized Parallel Reliability Testing Platform with Multifold Throughput Enhancement for Intel Stressing Tests., , , , , , , and . IRPS, page 1-6. IEEE, (2021)Machine Learning On Transistor Aging Data: Test Time Reduction and Modeling for Novel Devices., , , , and . IRPS, page 1-9. IEEE, (2021)ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks., , , , , , , , , and 1 other author(s). IWSLT@ACL, page 308-318. Association for Computational Linguistics, (2022)A Comparative Study of Classifying Legal Documents with Neural Networks., , and . FedCSIS, volume 15 of Annals of Computer Science and Information Systems, page 515-522. (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)Letting a Neural Network Decide Which Machine Translation System to Use for Black-Box Fuzzy-Match Repair., , , and . EAMT, page 229-238. (2018)AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages., , , , , , , , , and 7 other author(s). ACL (1), page 6279-6299. Association for Computational Linguistics, (2022)