Introduction

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DC Field	Value
dc.identifier	ECF_chapter_19080
dc.contributor.author	Froeliger Nicolas
dc.contributor.author	Larsonneur Claire
dc.contributor.author	Sofo Giuseppe
dc.title	Introduction
dc.type	Chapter
dc.language.iso	fr
dc.description.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.
dc.relation.ispartof	Studi e ricerche
dc.publisher	Edizioni Ca’ Foscari - Venice University Press, Fondazione Università Ca’ Foscari
dc.issued	2023-12-07
dc.identifier.uri	http://edizionicafoscari.it/en/edizioni4/libri/978-88-6969-763-0/introduction/
dc.identifier.doi	10.30687/978-88-6969-762-3/001
dc.identifier.issn	2610-993X
dc.identifier.eissn	2610-9123
dc.identifier.isbn	978-88-6969-763-0
dc.identifier.eisbn	978-88-6969-762-3
dc.rights	Creative Commons Attribution 4.0 International Public License
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
item.fulltext	with fulltext
item.grantfulltext	open
dc.peer-review	no

Chapter
open access

Introduction

Nicolas Froeliger Université Paris Cité

Claire Larsonneur Universitè Paris VIII de Vicennes à Saint-Denis, France

Giuseppe Sofo Università Ca’ Foscari Venezia, Italia

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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.

Published

Dec. 7, 2023

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ISBN (PRINT)

978-88-6969-763-0

ISBN (EBOOK)

978-88-6969-762-3

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

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.

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