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