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 Body enactivism • Service translation • Interdisciplinary approach • Master’s Programme in Translation • Post-editing (pe) • Online dictionaries • MT literacy • Automatic metrics • NMT toolkits • Post-editing • Language learning and teaching • NMT literacy • Embodiment and enactivism in translation • Directorate-general for translation • Neural machine translation • Translation technology • Computer-assisted translation (cat) • Machine translation • Translator training • Translation • Natural language processing • Digital Humanities • Tools • Machine Translation • Institutional translation • Translation workflow • Cognition • Translation competence framework • NMT specialisation • The Free Energy Principle and Active Inference • Computer-assisted and machine translation technolo • Boundaries of the translating mind • Human translation • Digital • Machine translation (mt) • Body functionalism • Project management • Online corpora • Artificial Intelligence • Information technology • Digital tools • Translation competence • Integrated translation project
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 fr, FR, en, 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.