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