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