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European Language Equality - Report on the French Language
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In: https://hal.archives-ouvertes.fr/hal-03637776 ; [Research Report] CNRS - LISN. 2022 (2022)
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Abstract:
Éditeurs scientifiques : Maria Giagkou, Stelios Piperidis, Georg Rehm, Jane Dunne ; This report presents a survey of the current state of technologies for the automatic processing of the French language as well as French Sign Language (FSL). Similar reports have been prepared independently for all languages of the European Union. It is based on a thorough analysis of existing tools and resources for French, and also provides an accurate presentation of the domain and of its main stakeholders. This report is organized in three main parts: first, two background sections that document notably the presence of French on the internet, as well as defining in broad terms the domain of language technologies. The core of the report is made of the following two sections, describing respectively the state of play for French and French sign language. The last two sections first summarize the main findings of a quantitative analysis performed within the ELE project; then spell out some general conclusions and formulate a series of recommendations, the implementation of which could improve the current technological support for French and FSL.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Human Language Technologies
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URL: https://hal.archives-ouvertes.fr/hal-03637776/file/ELE___Deliverable_D1_14__Language_Report_French_.pdf https://hal.archives-ouvertes.fr/hal-03637776/document https://hal.archives-ouvertes.fr/hal-03637776
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Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
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In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
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Optimizing Word Alignments with Better Subword Tokenization
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In: The 18th biennial conference of the International Association of Machine Translation ; https://hal.archives-ouvertes.fr/hal-03322842 ; The 18th biennial conference of the International Association of Machine Translation, Aug 2021, Miami (virtual), United States (2021)
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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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Screening Gender Transfer in Neural Machine Translation
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In: Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, ; Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP ; https://hal.archives-ouvertes.fr/hal-03424174 ; Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, Association for computational linguistics, Nov 2021, Punta Cana, Dominica ; https://blackboxnlp.github.io/ (2021)
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Graph Algorithms for Multiparallel Word Alignment
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In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ; The 2021 Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03424044 ; The 2021 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Nov 2021, Punta Cana, Dominica ; https://2021.emnlp.org/ (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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One Source, Two Targets: Challenges and Rewards of Dual Decoding
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In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03345478 ; Conference on Empirical Methods in Natural Language Processing, Nov 2021, Online and Punta Cana, Dominican Republic ; https://2021.emnlp.org/ (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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Segmentation en mots faiblement supervisée pour la documentation automatique des langues
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In: https://hal.archives-ouvertes.fr/hal-03477475 ; 2021 (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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Can You Traducir This? Machine Translation for Code-Switched Input ...
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One Source, Two Targets: Challenges and Rewards of Dual Decoding ...
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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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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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