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