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