Human Translation and Natural Language Processing
Towards a New Consensus?
open access | peer reviewed
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edited by
- Nicolas Froeliger - Université Paris Cité - email
- Claire Larsonneur - Université Paris 8
- Giuseppe Sofo - Ca' Foscari University of Venice - email
Abstract
The last decade has seen major technological changes related to artificial intelligence, particularly in the fields of machine translation and natural language processing. Convinced that translation and language technologies play an essential role in society, in this volume we propose to seek a new consensus between the human uses of language and the contributions of the machine; our aim is not only to enable exchanges and contribute to the development and dissemination of knowledge, but also to exercise our social sense of responsibility. Furthering digital literacy in the field of language technologies and promoting a better understanding of the social, economic and ethical stakes are indeed imperative.
Keywords Translation competence • Human translation • Cognition • Language learning and teaching • Machine Translation • Project management • The Free Energy Principle and Active Inference • Directorate-general for translation • Neural machine translation • Artificial Intelligence • Digital • Body enactivism • Translation technology • Online corpora • Master’s Programme in Translation • Post-editing • Translation • NMT literacy • Service translation • Embodiment and enactivism in translation • Information technology • Boundaries of the translating mind • Tools • Computer-assisted translation (cat) • Translation workflow • Integrated translation project • NMT toolkits • Digital Humanities • Digital tools • Institutional translation • Machine translation • Computer-assisted and machine translation technolo • Online dictionaries • Automatic metrics • Translation competence framework • Translator training • Interdisciplinary approach • MT literacy • Body functionalism • Machine translation (mt) • Post-editing (pe) • NMT specialisation • Natural language processing
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 | Published Dec. 7, 2023 | Language FR, en, 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.