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