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