Investigating the Usability of Automatic Metrics for Characterizing Translated vs

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Campo DC	Valore
dc.identifier	ECF_chapter_19456
dc.contributor.author	Martikainen Hanna
dc.title	Investigating the Usability of Automatic Metrics for Characterizing Translated vs Post-edited Texts in the Post-editing Classroom to Further Students’ MT Literacy
dc.type	Capitolo
dc.language.iso	it
dc.description.abstract	In order to foster professional attitudes towards machine translation (MT) among translation trainees, learners need to understand the limits of the technology and the scope for human intervention in MT-enhanced workflows, as well as the impact MT use has on the end product. Using a corpus of post-edited and translated texts produced by Master’s students in translation, this paper investigates the usability and value of automatic metrics as a pedagogical tool in the post-editing classroom for characterizing post-edited texts in comparison with human translation, and suggests a practical exercise for enhancing MT literacy in translation training.
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/investigating-the-usability-of-automatic-metrics-f/
dc.identifier.doi	10.30687/978-88-6969-762-3/005
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	Automatic metrics
dc.subject	Human translation
dc.subject	MT literacy
dc.subject	Machine translation
dc.subject	Post-editing
dc.subject	Translator training

Capitolo
open access

Investigating the Usability of Automatic Metrics for Characterizing Translated vs Post-edited Texts in the Post-editing Classroom to Further Students’ MT Literacy

Hanna Martikainen Université Paris 3 - Sorbonne Nouvelle

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abstract

In order to foster professional attitudes towards machine translation (MT) among translation trainees, learners need to understand the limits of the technology and the scope for human intervention in MT-enhanced workflows, as well as the impact MT use has on the end product. Using a corpus of post-edited and translated texts produced by Master’s students in translation, this paper investigates the usability and value of automatic metrics as a pedagogical tool in the post-editing classroom for characterizing post-edited texts in comparison with human translation, and suggests a practical exercise for enhancing MT literacy in translation training.

Pubblicato

07 Dicembre 2023

Presentato

14 Luglio 2023

Lingua

ISBN (PRINT)

978-88-6969-763-0

ISBN (EBOOK)

978-88-6969-762-3

Keywords: Automatic metrics • Machine translation • Human translation • Translator training • Post-editing • MT literacy

permalink: http://doi.org/10.30687/978-88-6969-762-3/005

Copyright: © 2023 Hanna Martikainen. 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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