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