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