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 - Université Paris 8
- Giuseppe Sofo - Ca' Foscari University of Venice - 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 • Translation competence • Machine Translation • Post-editing • Cognition • Post-editing (pe) • Tools • NMT literacy • Body functionalism • Online dictionaries • Machine translation (mt) • Computer-assisted translation (cat) • NMT specialisation • Translator training • Service translation • Digital tools • The Free Energy Principle and Active Inference • Body enactivism • Information technology • Natural language processing • Computer-assisted and machine translation technolo • Directorate-general for translation • Digital • Machine translation • Embodiment and enactivism in translation • Human translation • Translation technology • MT literacy • Boundaries of the translating mind • Language learning and teaching • NMT toolkits • Integrated translation project • Institutional translation • Translation • Interdisciplinary approach • Translation workflow • Translation competence framework • Neural machine translation • Project management • Digital Humanities • Artificial Intelligence • Master’s Programme in Translation • 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.