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