Traduction humaine et traitement automatique des langues
Vers un nouveau consensus ?
open access | peer reviewed
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a cura di
- Nicolas Froeliger - Université Paris Cité - email
- Claire Larsonneur - Universitè Paris VIII de Vicennes à Saint-Denis, France
- Giuseppe Sofo - Università Ca’ Foscari Venezia, Italia - email
Abstract
L’intelligence artificielle est en train de redéfinir la traduction automatique et le traitement automatique des langues. il est ainsi urgent de mieux en saisir les enjeux sociaux, économiques et éthiques. Ce volume collectif explore la possibilité et les contours d’un nouveau consensus entre les usages humains des langues et la contribution des machines.
Keywords Digital Humanities • Directorate-general for translation • Information technology • Interdisciplinary approach • Post-editing • Service translation • Neural machine translation • Language learning and teaching • Body enactivism • Boundaries of the translating mind • MT literacy • Institutional translation • Machine translation • Online corpora • Artificial Intelligence • Embodiment and enactivism in translation • Translation • Digital • Integrated translation project • NMT specialisation • Translation competence • Online dictionaries • Translator training • Tools • Translation technology • Human translation • Post-editing (pe) • Natural language processing • Machine Translation • Master’s Programme in Translation • NMT literacy • Project management • Automatic metrics • The Free Energy Principle and Active Inference • Cognition • Body functionalism • Computer-assisted and machine translation technolo • Computer-assisted translation (cat) • NMT toolkits • Translation competence framework • Digital tools • Machine translation (mt) • Translation workflow
Permalink http://doi.org/10.30687/978-88-6969-762-3 | e-ISBN 978-88-6969-762-3 | ISBN (PRINT) 978-88-6969-763-0 | Pubblicato 07 Dicembre 2023 | Lingua en, fr, FR, it
Copyright © 2023 Nicolas Froeliger, Claire Larsonneur, Giuseppe Sofo. This is an open-access work distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction is permitted, provided that the original author(s) and the copyright owner(s) are credited and that the original publication is cited, in accordance with accepted academic practice. The license allows for commercial use. No use, distribution or reproduction is permitted which does not comply with these terms.