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