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1
Joint WMT 2012 Submission of the QUAERO Project
Le, Hai-son; Lavergne, Thomas; Freitag, Markus. - : Association for Computational Linguistics, 2022
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2
Joint WMT Submission of the QUAERO Project
Ney, Hermann; Senellart, Jean; Crego, Josep Maria. - : Association for Computational Linguistics, 2022
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3
Revisiting Multi-Domain Machine Translation
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03159744 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, 9, pp.17-35. ⟨10.1162/tacl_a_00351⟩ (2021)
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Revisiting Multi-Domain Machine Translation
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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5
Boosting Neural Machine Translation with Similar Translations
In: Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02956324 ; Annual Meeting of the Association for Computational Linguistics, Jul 2020, Seattle, United States. pp.1570-1579, ⟨10.18653/v1/2020.acl-main.143⟩ (2020)
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6
Integrating Domain Terminology into Neural Machine Translation ...
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7
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation
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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8
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation ...
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9
Lexical Micro-adaptation for Neural Machine Translation ...
Xu, Jitao; Crego, Josep; Senellart, Jean. - : Zenodo, 2019
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10
Lexical Micro-adaptation for Neural Machine Translation ...
Xu, Jitao; Crego, Josep; Senellart, Jean. - : Zenodo, 2019
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11
Generic and Specialized Word Embeddings for Multi-Domain Machine Translation ...
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12
Fixing Translation Divergences in Parallel Corpora for Neural MT
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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13
SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering
In: Proceedings of the Third Conference on Machine Translation: Shared Task Papers ; https://hal.archives-ouvertes.fr/hal-02315344 ; Proceedings of the Third Conference on Machine Translation: Shared Task Papers, Oct 2018, Belgium, France. pp.934-938, ⟨10.18653/v1/W18-6485⟩ (2018)
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14
A multilingual corpus of tweets for domain adaptation
In: https://hal.archives-ouvertes.fr/hal-01529857 ; [Research Report] LIMSI-CNRS; ELDA; Systran. 2017 (2017)
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15
Neural Machine Translation from Simplified Translations ...
Crego, Josep; Senellart, Jean. - : arXiv, 2016
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16
Ncode: an open source bilingual n-gram SMT toolkit
In: The Prague bulletin of mathematical linguistics. - Praha : Univ. (2011) 96, 49-58
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17
N-code: an open-source Bilingual N-gram SMT Toolkit
In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal.archives-ouvertes.fr/hal-01960706 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2011, 96, pp.49-58 (2011)
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18
LIMSI @ WMT11
In: WMT 2011. Sixth Workshop on Statistical Machine Translation : Proceedings of the Workshop ; Sixth Workshop on Statistical Machine Translation (WMT 11) ; https://hal.archives-ouvertes.fr/hal-00644047 ; Sixth Workshop on Statistical Machine Translation (WMT 11), Jul 2011, Edinburgh, United Kingdom. pp.309-315 (2011)
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19
Factored bilingual n-gram language models for statistical machine translation
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 2, 159-175
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20
Improving statistical MT by coupling reordering and decoding
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 20 (2007) 3, 199-215
OLC Linguistik
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