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