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