Studi e ricerche

Introduction

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Abstract

The last decade has seen major technological changes related to artificial intelligence, particularly in the fields of machine translation (MT) and natural language processing (NLP). The remarkable progress made in research into the automation of text and speech translation (machine translation, speech synthesis and recognition, image/text linking, evaluation metrics, etc.), combined with what is known as artificial intelligence (AI), is broadening the field of application of translation tools. These developments and the democratisation of neural translation are leading us to rethink our working methods and the organisation of the professions themselves.



Open access

Published Dec. 7, 2023 | Language: 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.

Permalink http://doi.org/10.30687/978-88-6969-762-3/001


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