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