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Opening the Vocabulary of Neural Language Models with Character-level Word Represen- Tations, and . (2016)LIMSI's Statistical Translation Systems for WMT'09., , , and . WMT@EACL, page 100-104. Association for Computational Linguistics, (2009)Adapting without forgetting: KnowBert-UMLS., , , , , and . WiMob, page 19-24. IEEE, (2022)Discriminative Weighted Alignment Matrices For Statistical Machine Translation., , and . EAMT, European Association for Machine Translation, (2011)Apprentissage de plongements de mots dynamiques avec régularisation de la dérive (Learning dynamic word embeddings with drift regularisation)., and . PFIA (Articles longs), page 13-26. ATALA, (2019)Oublier ce qu'on sait, pour mieux apprendre ce qu'on ne sait pas : une étude sur les contraintes de type dans les modèles CRF., , , , and . TALN (long papers), page 37-48. ATALA, (2015)Perception of the evolution of prosody in the French broadcast news style., , and . INTERSPEECH, page 2531-2534. ISCA, (2009)LIMSI @ IWSLT 2010., , , , , and . IWSLT, page 105-112. ISCA, (2010)Structured Output Layer Neural Network Language Models for Speech Recognition., , , , and . IEEE Trans. Speech Audio Process., 21 (1): 195-204 (2013)Unsupervised Learning of Word Segmentation: Does Tone Matter?, , , , and . CICLing (1), volume 13396 of Lecture Notes in Computer Science, page 349-359. Springer, (2018)