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 - Universitè Paris VIII de Vicennes à Saint-Denis, France
- Giuseppe Sofo - Università Ca’ Foscari Venezia, Italia - 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 Machine translation • Human translation • Artificial Intelligence • Master’s Programme in Translation • NMT literacy • Cognition • Post-editing (pe) • Directorate-general for translation • Institutional translation • Machine Translation • Translation competence framework • Body enactivism • Translation • Project management • Neural machine translation • Translation workflow • Body functionalism • Digital • Embodiment and enactivism in translation • Natural language processing • Online dictionaries • Translation competence • Machine translation (mt) • Computer-assisted translation (cat) • NMT specialisation • Interdisciplinary approach • The Free Energy Principle and Active Inference • Translator training • Tools • Service translation • Language learning and teaching • Post-editing • Computer-assisted and machine translation technolo • Boundaries of the translating mind • Information technology • Translation technology • NMT toolkits • Digital Humanities • Digital tools • Integrated translation project • Automatic metrics • MT literacy • 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 | Published Dec. 7, 2023 | Language 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.