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Very Deep Convolutional Networks for Text Classification.

, , , and . EACL (1), page 1107-1116. Association for Computational Linguistics, (2017)

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Multimodal Grounding for Sequence-to-sequence Speech Recognition., , , , and . ICASSP, page 8648-8652. IEEE, (2019)Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better., , , and . CoRR, (2022)Automatische Übersetzung als Bestandteil eines philologischen B.A.-Curriculums mit DH-Schwerpunk., , , and . DHd, (2019)Towards lifelong human assisted speaker diarization., , , , , , , , , and 3 other author(s). Comput. Speech Lang., (2023)Active correction for speaker diarization with human in the loop., , , , and . IberSPEECH, ISCA, (2021)Findings of the First Shared Task on Lifelong Learning Machine Translation., , , , and . WMT@EMNLP, page 56-64. Association for Computational Linguistics, (2020)Probing the Need for Visual Context in Multimodal Machine Translation., , , and . NAACL-HLT (1), page 4159-4170. Association for Computational Linguistics, (2019)LIUM English-to-French spoken language translation system and the Vecsys/LIUM automatic speech recognition system for Italian language for IWSLT 2014., , , , , , , and . IWSLT (Evaluation Campaign), (2014)Factored Neural Machine Translation Architectures., , and . IWSLT, International Workshop on Spoken Language Translation, (2016)In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering., , , and . ACL/IJCNLP (2), page 468-475. Association for Computational Linguistics, (2021)