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