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