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