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