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