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