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Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire
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In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021)
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CENTRAL KURDISH MACHINE TRANSLATION: FIRST LARGE SCALE PARALLEL CORPUS AND EXPERIMENTS
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In: https://hal.archives-ouvertes.fr/hal-03263105 ; 2021 (2021)
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Multilingual neural architectures for natural language processing ; Architectures neuronales multilingues pour le traitement automatique des langues naturelles
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In: https://tel.archives-ouvertes.fr/tel-03199494 ; Informatique et langage [cs.CL]. Université du Maine, 2021. Français. ⟨NNT : 2021LEMA1002⟩ (2021)
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Multi-domain Neural Machine Translation ; Traduction automatique neuronale multidomaine
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In: https://tel.archives-ouvertes.fr/tel-03546910 ; Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASG109⟩ (2021)
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TraduXio Project: Latest Upgrades and Feedback
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-02920044 ; Journal of Data Mining and Digital Humanities, Episciences.org, 2021, Atelier Digit_Hum, ⟨10.46298/jdmdh.6733⟩ (2021)
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MultiTraiNMT: training materials to approach neural machine translation from scratch ; MultiTraiNMT: des outils pour se former à la traduction automatique neuronale
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In: TRITON 2021 (Translation and Interpreting Technology Online) ; https://hal.archives-ouvertes.fr/hal-03272570 ; TRITON 2021 (Translation and Interpreting Technology Online), Jul 2021, Online, United Kingdom (2021)
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The Cognitive Turn in Metaphor Translation Studies: A Critical Overview
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In: ISSN: 1027-7978 ; Journal of Translation Studies ; https://hal.archives-ouvertes.fr/hal-03342406 ; Journal of Translation Studies, Chinese University Press, 2021, 5 (2), pp.83-115 (2021)
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Can You Traducir This? Machine Translation for Code-Switched Input
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In: Workshop on Computational Approaches to Linguistic Code Switching ; https://hal.archives-ouvertes.fr/hal-03218889 ; Workshop on Computational Approaches to Linguistic Code Switching, Association for Computational Linguistics, Jun 2021, Online, United States (2021)
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Improving Machine Translation of Arabic Dialects through Multi-Task Learning
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In: 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021 ; https://hal.archives-ouvertes.fr/hal-03435996 ; 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021, Dec 2021, MILAN/Virtual, Italy (2021)
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Abstract:
International audience ; Neural Machine Translation (NMT) systems have been shown to perform impressively on many language pairs compared to Statistical Machine Translation (SMT). However, these systems are data-intensive, which is problematic for the majority of language pairs, and especially for low-resource languages. In this work, we address this issue in the case of certain Arabic dialects, those variants of Modern Standard Arabic (MSA) that are spelling non-standard, morphologically rich, and yet resource-poor variants. Here, we have experimented with several multitasking learning strategies to take advantage of the relationships between these dialects. Despite the simplicity of this idea, empirical results show that several multitasking learning strategies are capable of achieving remarkable performance compared to statistical machine translation. For instance, we obtained the BLUE scores for the Algerian → Modern-Standard-Arabic and the Moroccan → Palestinian of 35.06 and 27.55, respectively, while the scores obtained with a statistical method are 15.1 and 18.91 respectively. We show that on 42 machine translation experiments, and despite the use of a small corpus, multitasking learning achieves better performance than statistical machine translation in 88% of cases.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; Arabic dialects; Lowresource Languages; Machine Translation; Multitask Learning; Neural Network
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URL: https://hal.archives-ouvertes.fr/hal-03435996 https://hal.archives-ouvertes.fr/hal-03435996/document https://hal.archives-ouvertes.fr/hal-03435996/file/Springer_Lecture_Notes_in_Computer_Science__4_.pdf
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Few-shot learning through contextual data augmentation
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In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03121971 ; EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kiev / Virtual, Ukraine (2021)
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Deep learning and the Global Workspace Theory
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In: ISSN: 0166-2236 ; EISSN: 1878-108X ; Trends in Neurosciences ; https://hal.archives-ouvertes.fr/hal-03311492 ; Trends in Neurosciences, Elsevier, 2021, ⟨10.1016/j.tins.2021.04.005⟩ (2021)
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LISN @ WMT 2021
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In: Proceedings of the Sixth Conference on Machine Translation (WMT), ; 6th Conference on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-03430610 ; 6th Conference on Statistical Machine Translation, Association for Computational Linguistics, Nov 2021, Punta Cuna, Dominica ; http://statmt.org/wmt21/program.html (2021)
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Kittajafr-v2baseline-2.0.1
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In: https://hal.archives-ouvertes.fr/hal-03503325 ; 2021 (2021)
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Commentaries as nexus of information ; Commentaries as nexus of information: How transmitted classical texts carried sets of knowledge along with hermeneutics
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In: Dynamics of knowledge transmission and linguistic transformation in Chinese textual cultures ; https://hal.archives-ouvertes.fr/hal-03518968 ; Dynamics of knowledge transmission and linguistic transformation in Chinese textual cultures, Rainier Lanselle; Barbara Bisetto, Jun 2021, Verona, Italy (2021)
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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-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
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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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DEVELOPMENT OF THE FIRST SIMULTANEOUS TRANSLATION METHODS IN WESTERN COUNTRIES ...
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DEVELOPMENT OF THE FIRST SIMULTANEOUS TRANSLATION METHODS IN WESTERN COUNTRIES ...
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