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MEDLINE as a parallel corpus: a survey to gain insight on French-, Spanish- and Portuguese-speaking authors' abstract writing practice
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In: International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03023950 ; International Conference on Language Resources and Evaluation, ELRA, May 2020, Marseille, France (2020)
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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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Abstract:
International audience ; Supervised machine translation works well when the train and test data are sampled from the same distribution. When this is not the case, adaptation techniques help ensure that the knowledge learned from out-of-domain texts generalises to in-domain sentences. We study here a related setting, multi-domain adaptation, where the number of domains is potentially large and adapting separately to each domain would waste training resources. Our proposal transposes to neural machine translation the feature expansion technique of (Daum'e III, 2007): it isolates domain-agnostic from domain-specific lexical representations, while sharing the most of the network across domains.Our experiments use two architectures and two language pairs: they show that our approach, while simple and computationally inexpensive, outperforms several strong baselines and delivers a multi-domain system that successfully translates texts from diverse sources.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; Domain Adaptation; Machine Translation
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URL: https://hal.archives-ouvertes.fr/hal-02343215
https://hal.archives-ouvertes.fr/hal-02343215/file/IWSLT2019_paper_10.pdf
https://doi.org/10.5281/zenodo.3524978
https://hal.archives-ouvertes.fr/hal-02343215/document
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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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A Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content
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In: The 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19) ; https://hal.archives-ouvertes.fr/hal-02270524 ; The 22nd Nordic Conference on Computational Linguistics (NoDaLiDa’19), Sep 2019, Turku, Finland ; https://nodalida2019.org/index.html (2019)
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Book Review
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In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02267552 ; 2019, 4p (2019)
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Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective
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In: The 21st International ACM SIGACCESS Conference on Computers and Accessibility ; https://hal.archives-ouvertes.fr/hal-02394580 ; The 21st International ACM SIGACCESS Conference on Computers and Accessibility, Oct 2019, Pittsburgh, United States (2019)
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Using Monolingual Data in Neural Machine Translation: a Systematic Study
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In: Proceedings of the Third Conference on Machine Translation: Research Papers ; Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01910235 ; Conference on Machine Translation, Oct 2018, Brussels, Belgium (2018)
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Fixing Translation Divergences in Parallel Corpora for Neural MT
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In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ; Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01908309 ; Conference on Empirical Methods in Natural Language Processing, Nov 2018, Bruxelles, Belgium. pp.2967 - 2973 (2018)
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| 10 |
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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| 11 |
Going beyond the sentence : Contextual Machine Translation of Dialogue ; Au-delà de la phrase : traduction automatique de dialogue en contexte
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In: https://tel.archives-ouvertes.fr/tel-02004683 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLS524⟩ (2018)
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The WMT'18 Morpheval test suites for English-Czech, English-German, English-Finnish and Turkish-English
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In: Proceedings of the Third Conference on Machine Translation ; 3rd Conference on Machine Translation (WMT 18) ; https://hal.archives-ouvertes.fr/hal-01910244 ; 3rd Conference on Machine Translation (WMT 18), Oct 2018, Bruxelles, Belgium. pp.550-564, ⟨10.18653/v1/W18-64060⟩ ; http://www.statmt.org/wmt18/ (2018)
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| 13 |
Detecting context-dependent sentences in parallel corpora ; Détection dans des corpus parallèles de phrases dépendantes du contexte
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In: 25th Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01800736 ; 25th Conférence sur le Traitement Automatique des Langues Naturelles, 2018, Rennes, France. pp.393-400 (2018)
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A comparison of discriminative training criteria for continuous space translation models
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In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-01621763 ; Machine Translation, Springer Verlag, 2017, 1-2, 31, pp.19-33 (2017)
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| 15 |
Word Representations in Factored Neural Machine Translation
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In: Proceedings of the Conference on Machine Translation (WMT), ; Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01618384 ; Conference on Machine Translation, Association for Computational Linguistics, Sep 2017, Copenhagen, Denmark. pp.43 - 55 (2017)
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Learning Morphological Normalization for Translation from and into Morphologically Rich Languages
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In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal.archives-ouvertes.fr/hal-01618382 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2017, 108, pp.49-60. ⟨10.1515/pralin-2017-0008⟩ (2017)
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LIMSI@WMT'17
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In: Proceedings of the Conference on Machine Translation (WMT), ; Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01619897 ; Conference on Machine Translation, Association for Computational Linguistics, Jan 2017, Copenhagen, Denmark. pp.257 - 264 (2017)
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| 18 |
Evaluating the morphological competence of Machine Translation Systems
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In: Proceedings of the Conference on Machine Translation (WMT) ; 2nd Conference on Machine Translation (WMT17) ; https://hal.archives-ouvertes.fr/hal-01618387 ; 2nd Conference on Machine Translation (WMT17), Association for Computational Linguistics, Sep 2017, Copenhague, Denmark. pp.43-55 ; http://www.statmt.org/wmt17/ (2017)
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Machine Translation, it’s a question of style, innit? The case of English tag questions
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In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) ; https://hal.archives-ouvertes.fr/hal-01588171 ; Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. pp.2497-2502 ; http://emnlp2017.net/ (2017)
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| 20 |
Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context
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In: 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017) ; https://hal.archives-ouvertes.fr/hal-01588152 ; 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017), Jun 2017, Orléans, France. pp.2497-2502 (2017)
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