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