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In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ...
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Machine Translation for the Normalisation of 17th c. French ; Traduction automatique pour la normalisation du français du XVII e siècle
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In: TALN 2020 ; https://hal.archives-ouvertes.fr/hal-02596669 ; TALN 2020, ATALA, Jun 2020, Nancy, France (2020)
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Abstract:
International audience ; The study of old state of languages is facing a double problem : on the one hand the distance with contemporary spelling prevents scholars from using standard NLP solutions, on the other hand the instability of the scriptae complexifies the training of solutions directly on the original source text. Returning to this problem with a DH perspective, we start with the philological reasoning behind the creation of the training corpus, and use traditional NLP methods to compare two machine translation systems (statistical and neural) and offer a functional tool for the normalisation of 17th c. French answering the needs of philologists. Mots-clés : Normalisation, XVII e siècle, traduction automatique neuronale, traduction automa-tique statistique, humanités numériques. ; L'étude des états de langue anciens se heurte à un double problème : d'une part la distance d'avec l'orthographe actuelle, qui empêche de recourir aux solutions standards de TAL, et d'autre part l'in-stabilité des systèmes graphiques, qui complexifie l'entraînement de solutions directement sur le texte original. Reprenant ce problème d'un point de vue des humanités numériques, nous partons du raisonnement philologique qui sous-tend la création du corpus d'entraînement, avant de recourir aux méthodes traditionnelles de TAL pour comparer deux systèmes de traduction automatique (sta-tistique et neuronale) et offrir un outil fonctionnel pour la normalisation du français classique qui corresponde aux besoins des philologues.
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Keyword:
17th c French; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.LITT]Humanities and Social Sciences/Literature; Digital humanities; Français classique; Humanités numériques; Neural Machine Translation (NMT); Normalisation; Statistical Machine Translation (SMT); Traduction automatique neuronale; Traduction automatique statistique
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URL: https://hal.archives-ouvertes.fr/hal-02596669/file/main.pdf
https://hal.archives-ouvertes.fr/hal-02596669
https://hal.archives-ouvertes.fr/hal-02596669/document
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Findings of the 2019 Conference on Machine Translation (WMT19)
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In: Barrault, Loïc orcid:0000-0002-0634-6147 , Bojar, Ondřej orcid:0000-0002-0606-0050 , Costa-Jussà, Marta R. orcid:0000-0002-5703-520X , Federmann, Christian, Fishel, Mark and Graham, Yvette (2019) Findings of the 2019 Conference on Machine Translation (WMT19). In: Fourth Conference on Machine Translation, 1-2 Aug 2019, Florence, Italy. (2019)
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A Workflow For On The Fly Normalisation Of 17th c. French
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In: DH2019 ; https://hal.archives-ouvertes.fr/hal-02276150 ; DH2019, ADHO, Jul 2019, Utrecht, Netherlands (2019)
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What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties
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In: ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01898412 ; ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2126-2136 (2018)
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties ...
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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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Neural Machine Translation by Generating Multiple Linguistic Factors
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In: 5th International Conference Statistical Language and Speech Processing SLSP 2017 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01689270 ; 5th International Conference Statistical Language and Speech Processing SLSP 2017, Oct 2017, Le Mans, France. ⟨10.1007/978-3-319-68456-7_2⟩ (2017)
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
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In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01647873 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2017, 109 (1), ⟨10.1515/pralin-2017-0035⟩ (2017)
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Very Deep Convolutional Networks for Text Classification
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In: European Chapter of the Association for Computational Linguistics EACL'17 ; https://hal.archives-ouvertes.fr/hal-01454940 ; European Chapter of the Association for Computational Linguistics EACL'17, 2017, Valencia, Spain (2017)
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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description ...
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Neural Machine Translation by Generating Multiple Linguistic Factors ...
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
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In: Prague Bulletin of Mathematical Linguistics , Vol 109, Iss 1, Pp 15-28 (2017) (2017)
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OCR Error Correction Using Statistical Machine Translation
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In: 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015). ; https://hal.archives-ouvertes.fr/hal-01433200 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015)., 2015, Cairo, Egypt (2015)
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Continuous Adaptation to User Feedback for Statistical Machine Translation
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In: North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015) ; https://hal.archives-ouvertes.fr/hal-01454944 ; North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), 2015, Denver (Colorado, USA), Unknown Region (2015)
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