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