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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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Generative latent neural models for automatic word alignment
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In: Association for Machine Translation in the Americas ; https://hal.archives-ouvertes.fr/hal-02949042 ; Association for Machine Translation in the Americas, Oct 2020, Miami, Florida, United States. pp.64-77 ; https://amtaweb.org/amta-2020-conference-program-and-registration-are-available/ (2020)
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| 3 |
Using lexical and terminological resources in neural machine translation ; Utilisation de ressources lexicales et terminologiques en traduction neuronale
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In: https://hal.archives-ouvertes.fr/hal-02895535 ; [Rapport de recherche] 2020-001, LIMSI-CNRS. 2020, 56 p (2020)
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| 4 |
Using lexical and terminological resources in neural machine translation ; Utilisation de ressources lexicales et terminologiques en traduction neuronale
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In: https://hal.archives-ouvertes.fr/hal-02895535 ; [Rapport de recherche] 2020-001, LIMSI-CNRS. 2020, 56 p (2020)
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| 5 |
SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
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In: EMNLP 2020 ; https://hal.archives-ouvertes.fr/hal-03013194 ; EMNLP 2020, Association for Computational Linguistics, Nov 2020, Online, United States. pp.1627 - 1643 (2020)
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| 6 |
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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| 7 |
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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| 8 |
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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| 9 |
How Bad are PoS Tagger in Cross-Corpora Settings? Evaluating Annotation Divergence in the UD Project
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In: Proceedings of NAACL-HLT 2019, ; 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-02055137 ; 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2019, Minneapolis, Minnesota, United States. pp.218 - 227 (2019)
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| 10 |
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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| 11 |
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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| 12 |
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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| 13 |
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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| 14 |
Unsupervised Word Segmentation from Speech with Attention
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In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01818092 ; Interspeech 2018, Sep 2018, Hyderabad, India (2018)
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| 15 |
Automatically Selecting the Best Dependency Annotation Design with Dynamic Oracles
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In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01813395 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, New Orleans, United States. pp.401 - 406, ⟨10.18653/v1/N18-2064⟩ (2018)
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| 16 |
Bayesian models for unit discovery on a very low resource language
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In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01709589 ; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada (2018)
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| 17 |
Unsupervised Word Segmentation: does tone matter ?
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In: International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01910756 ; International Conference on Intelligent Text Processing and Computational Linguistics, Mar 2018, Hanoï, Vietnam (2018)
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| 18 |
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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| 19 |
Quantifying training challenges of dependency parsers
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In: Proceedings of the 27th International Conference on Computational Linguistics, ; International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01907772 ; International Conference on Computational Linguistics, Aug 2018, Santa Fe, New Mexico, United States. pp.3191 - 3202 (2018)
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| 20 |
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
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In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01813394 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, ACL, Jun 2018, New Orleans, United States. pp.413 - 419 (2018)
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