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