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Revisiting Multi-Domain Machine Translation
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In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159743 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35 (2021)
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Controlling Utterance Length in NMT-based Word Segmentation with Attention
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343206 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China (2019)
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Generic and Specialized Word Embeddings for Multi-Domain Machine Translation
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343215 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China. ⟨10.5281/zenodo.3524978⟩ ; https://zenodo.org/communities/iwslt2019/ (2019)
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Neural Baselines for Word Alignments
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-02343217 ; International Workshop on Spoken Language Translation, Nov 2019, Hong-Kong, China ; https://zenodo.org/communities/iwslt2019/ (2019)
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Reassessing the proper place of man and machine in translation: a pre-translation scenario
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-01908305 ; Machine Translation, Springer Verlag, 2018, 32 (4), 31p. ⟨10.1007/s10590-018-9223-9⟩ (2018)
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Measuring the adequacy of cross-lingual paraphrases in a Machine Translation setting
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838574 ; International Conference on Computational Linguistics, Jan 2012, Mumbai, India (2012)
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