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Lingua Custodia at WMT'19: Attempts to Control Terminology ...
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| 2 |
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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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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| 4 |
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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| 7 |
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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| 8 |
The QT21 Combined Machine Translation System for English to Latvian
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| 9 |
The QT21 combined machine translation system for English to Latvian
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In: 348 ; 357 (2017)
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| 10 |
Learning Morphological Normalization for Translation from and into Morphologically Rich Languages
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 49-60 (2017) (2017)
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Abstract:
When translating between a morphologically rich language (MRL) and English, word forms in the MRL often encode grammatical information that is irrelevant with respect to English, leading to data sparsity issues. This problem can be mitigated by removing from the MRL irrelevant information through normalization. Such preprocessing is usually performed in a deterministic fashion, using hand-crafted rules and yielding suboptimal representations. We introduce here a simple way to automatically compute an appropriate normalization of the MRL and show that it can improve machine translation in both directions.
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Keyword:
Computational linguistics. Natural language processing; P98-98.5
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URL: https://doi.org/10.1515/pralin-2017-0008
https://doaj.org/article/284791314bd14a9682336c7b423377e1
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| 11 |
LIMSI@WMT16: Machine Translation of News
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In: First Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01388659 ; First Conference on Machine Translation, Aug 2016, Berlin, Germany. pp.239--245, ⟨10.18653/v1/W16-2304⟩ ; https://statmt.org/wmt16 (2016)
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| 12 |
Unsupervised learning of morphology in the USSR
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In: Journées internationales d'Analyse statistique des Données Textuelles ; https://hal.archives-ouvertes.fr/hal-01620908 ; Journées internationales d'Analyse statistique des Données Textuelles, Damon Mayaffre, Céline Poudat, Laurent Vanni, Véronique Magri, Peter Follette, Jun 2016, Nice, France (2016)
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| 13 |
Two-Step MT: Predicting Target Morphology
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-01592337 ; International Workshop on Spoken Language Translation, 2016, Seattle, WA, United States (2016)
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Morphology-Aware Alignments for Translation to and from a Synthetic Language
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In: International Workshop on Spoken Language Translation ; https://hal.archives-ouvertes.fr/hal-01635005 ; International Workshop on Spoken Language Translation, Jan 2015, Da Nang, Vietnam (2015)
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LIMSI$@$WMT'15 : Translation Task
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In: Proceedings of the Tenth Workshop on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-02912383 ; Proceedings of the Tenth Workshop on Statistical Machine Translation, Sep 2015, Lisbon, Portugal. pp.145-151, ⟨10.18653/v1/W15-3016⟩ (2015)
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