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