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