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Étude de l'apprentissage par transfert de systèmes de traduction automatique neuronaux (Study on transfer learning in neural machine translation ).

, , and . PFIA (Articles courts), page 275-284. ATALA, (2019)

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Addressing data sparsity for neural machine translation between morphologically rich languages., , , and . Mach. Transl., 34 (1): 1-20 (2020)LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs., , , , and . WMT (2), page 129-133. Association for Computational Linguistics, (2019)Incremental Adaptation Strategies for Neural Network Language Models., , , and . CVSC, page 48-56. Association for Computational Linguistics, (2015)Investigating Self-Supervised Pre-Training for End-to-End Speech Translation., , , , and . INTERSPEECH, page 1466-1470. ISCA, (2020)A Study on Multilingual Transfer Learning in Neural Machine Translation: Finding the Balance Between Languages., , and . SLSP, volume 11816 of Lecture Notes in Computer Science, page 59-70. Springer, (2019)ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task., , , , , , , and . CoRR, (2019)LIG approach for IWSLT09., , and . IWSLT (Evaluation Campaign), (2009)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)Étude de l'apprentissage par transfert de systèmes de traduction automatique neuronaux (Study on transfer learning in neural machine translation )., , and . PFIA (Articles courts), page 275-284. ATALA, (2019)ELYADATA at WojoodNER Shared Task: Data and Model-centric Approaches for Arabic Flat and Nested NER., , and . ArabicNLP, page 759-764. Association for Computational Linguistics, (2023)