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