Traduction humaine et traitement automatique des langues
Vers un nouveau consensus ?
open access | peer reviewed
-
a cura di
- Nicolas Froeliger - Université Paris Cité - email
- Claire Larsonneur - Université Paris 8
- Giuseppe Sofo - Ca' Foscari University of Venice - 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 Tools • Master’s Programme in Translation • Digital tools • Interdisciplinary approach • Integrated translation project • Computer-assisted translation (cat) • Automatic metrics • Post-editing • Translation workflow • Machine Translation • Online dictionaries • Project management • Neural machine translation • Language learning and teaching • Machine translation • The Free Energy Principle and Active Inference • Artificial Intelligence • NMT specialisation • Natural language processing • Human translation • Machine translation (mt) • NMT literacy • Translation competence framework • Body functionalism • Directorate-general for translation • Translation • Translation technology • Service translation • Digital Humanities • Computer-assisted and machine translation technolo • Boundaries of the translating mind • NMT toolkits • Translator training • Translation competence • Online corpora • Embodiment and enactivism in translation • Cognition • Information technology • MT literacy • Post-editing (pe) • Institutional translation • Digital • Body enactivism
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, it, FR
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.