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