Traduction automatique et traduction institutionnelle : le modèle neuronal a-t-il

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Campo DC	Valore
dc.identifier	ECF_chapter_19455
dc.contributor.author	Rossi Caroline
dc.contributor.author	Talbot Aurelien
dc.title	Traduction automatique et traduction institutionnelle : le modèle neuronal a-t-il changé la donne ?
dc.type	Capitolo
dc.language.iso	it
dc.description.abstract	A sequel to our study of the uses and perceptions of machine translation and post-editing within the European Commission’s Directorate-General for Translation (Rossi et al. 2019), this article sets out to reconsider the implications of the shift to neural machine translation in this institution. On the basis of semi-directed interviews conducted in March 2022 with 11 translators in different language department of the D-G Translation, we outline a set of concomitant factors likely to account for the transformations underway, calling into question the boundaries between machine translation and computer-assisted translation, and between translation and post-editing.
dc.relation.ispartof	Studi e ricerche
dc.publisher	Edizioni Ca’ Foscari - Venice University Press, Fondazione Università Ca’ Foscari
dc.issued	2023-12-07
dc.dateAccepted	2023-10-23
dc.dateSubmitted	2023-07-14
dc.identifier.uri	http://edizionicafoscari.it/it/edizioni4/libri/978-88-6969-763-0/traduction-automatique-et-traduction-institutionne/
dc.identifier.doi	10.30687/978-88-6969-762-3/010
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	yes
dc.subject	Computer-assisted translation (cat)
dc.subject	Directorate-general for translation
dc.subject	Institutional translation
dc.subject	Machine translation (mt)
dc.subject	Post-editing (pe)

Capitolo
open access peer reviewed

Traduction automatique et traduction institutionnelle : le modèle neuronal a-t-il changé la donne ?

Caroline Rossi Université Grenoble Alpes

Aurelien Talbot Université Grenoble Alpes

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abstract

A sequel to our study of the uses and perceptions of machine translation and post-editing within the European Commission’s Directorate-General for Translation (Rossi et al. 2019), this article sets out to reconsider the implications of the shift to neural machine translation in this institution. On the basis of semi-directed interviews conducted in March 2022 with 11 translators in different language department of the D-G Translation, we outline a set of concomitant factors likely to account for the transformations underway, calling into question the boundaries between machine translation and computer-assisted translation, and between translation and post-editing.

Pubblicato

07 Dicembre 2023

Accettato

23 Ottobre 2023

Presentato

14 Luglio 2023

Lingua

ISBN (PRINT)

978-88-6969-763-0

ISBN (EBOOK)

978-88-6969-762-3

Keywords: Machine translation (mt) • Institutional translation • Directorate-general for translation • Post-editing (pe) • Computer-assisted translation (cat)

permalink: http://doi.org/10.30687/978-88-6969-762-3/010

Copyright: © 2023 Caroline Rossi, Aurelien Talbot. 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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