“I Looked It Up in DeepL”: Machine Translation and Digital

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Campo DC	Valore
dc.identifier	ECF_chapter_18221
dc.contributor.author	Cotelli Kureth Sara
dc.contributor.author	Delormes Benites Alice
dc.contributor.author	Haller Mara
dc.contributor.author	Noghrechi Hasti
dc.contributor.author	Steele Elizabeth
dc.title	“I Looked It Up in DeepL”: Machine Translation and Digital Tools in the Language Classroom
dc.type	Capitolo
dc.language.iso	it
dc.description.abstract	This article looks at a widespread yet erroneous use of machine translation (MT): looking up single words, thus treating MT systems as online bilingual dictionaries (ODs). After a literature review of this trend in research about MT, we consider data from a large survey that we carried out in 2021 at all Swiss universities on MT use and users’ attitudes. When analysing users’ metalinguistic awareness, we discovered that non-translators perceive the text to translate, mostly at word level, leading to the misuse of MT systems as ODs. Moreover, the survey results revealed confusion between the different digital tools for language learning, namely MT, online parallel corpora like Linguee and ODs. We therefore suggest broadening the scope of MT literacy to include training learners in general digital literacy to enable them to use such tools appropriately.
dc.relation.ispartof	Studi e ricerche
dc.publisher	Edizioni Ca’ Foscari - Venice University Press, Fondazione Università Ca’ Foscari
dc.issued	2023-12-07
dc.dateSubmitted	2023-07-14
dc.identifier.uri	http://edizionicafoscari.it/it/edizioni4/libri/978-88-6969-763-0/i-looked-it-up-in-deepl-machine-translation-and-di/
dc.identifier.doi	10.30687/978-88-6969-762-3/006
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
dc.subject	Language learning and teaching
dc.subject	Machine translation
dc.subject	Online corpora
dc.subject	Online dictionaries
dc.subject	Tools

Capitolo
open access

“I Looked It Up in DeepL”: Machine Translation and Digital Tools in the Language Classroom

Sara Cotelli Kureth Université de Neuchatel

Alice Delormes Benites

Mara Haller

Hasti Noghrechi

Elizabeth Steele

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abstract

This article looks at a widespread yet erroneous use of machine translation (MT): looking up single words, thus treating MT systems as online bilingual dictionaries (ODs). After a literature review of this trend in research about MT, we consider data from a large survey that we carried out in 2021 at all Swiss universities on MT use and users’ attitudes. When analysing users’ metalinguistic awareness, we discovered that non-translators perceive the text to translate, mostly at word level, leading to the misuse of MT systems as ODs. Moreover, the survey results revealed confusion between the different digital tools for language learning, namely MT, online parallel corpora like Linguee and ODs. We therefore suggest broadening the scope of MT literacy to include training learners in general digital literacy to enable them to use such tools appropriately.

Pubblicato

07 Dicembre 2023

Presentato

14 Luglio 2023

Lingua

ISBN (PRINT)

978-88-6969-763-0

ISBN (EBOOK)

978-88-6969-762-3

Keywords: Language learning and teaching • Machine translation • Online dictionaries • Tools • Online corpora

permalink: http://doi.org/10.30687/978-88-6969-762-3/006

Copyright: © 2023 Sara Cotelli Kureth, Alice Delormes Benites, Mara Haller, Hasti Noghrechi, Elizabeth Steele. 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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