Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts

A highly controlled experimental setting using a sample of questions from the European Social Survey (ESS) and European Values Study (EVS) was used to test the effects of integrating machine translation and post-editing into the Translation, Review, Adjudication, Pretesting, and Documentation (TRAPD...

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Autores: Zavala-Rojas, Diana, Behr, Dorothée, Dorer, Brita, Sorato, Danielly, Keck, Veronika
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/69793
Acesso em linha:http://hdl.handle.net/10230/69793
http://dx.doi.org/10.1093/poq/nfad060
Access Level:acceso abierto
Palavra-chave:Traducció automàtica
Traduccions
Lingüística
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spelling Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey textsZavala-Rojas, DianaBehr, DorothéeDorer, BritaSorato, DaniellyKeck, VeronikaTraducció automàticaTraduccionsLingüísticaA highly controlled experimental setting using a sample of questions from the European Social Survey (ESS) and European Values Study (EVS) was used to test the effects of integrating machine translation and post-editing into the Translation, Review, Adjudication, Pretesting, and Documentation (TRAPD) approach in survey translation. Four experiments were conducted in total, two concerning the language pair English-German and two in the language pair English-Russian. The overall results of this study are positive for integrating machine translation and post-editing into the TRAPD process, when translating survey questionnaires. The experiments show evidence that in German and Russian languages and for a sample of ESS and EVS survey questions, the effect of integrating machine translation and post-editing on the quality of the review outputs—with quality understood as texts output with the fewest errors possible—can hardly be distinguished from the quality that derives from the setting with human translations only.This work was funded from the European Union’s Horizon 2020 Research and Innovation Programme (2014-2020) under Grant Agreement No. 823782. PI at Universitat Pompeu Fabra: Diana Zavala-Rojas; PI at GESIS: Dorothée Behr.Oxford University Press202520252024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/69793http://dx.doi.org/10.1093/poq/nfad060reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésPublic Opinion Quarterly. 2024 Apr 12;88(1):123-48info:eu-repo/grantAgreement/EC/H2020/823782© The Author(s) 2024. Published by Oxford University Press on behalf of American Association for Public Opinion Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/697932026-06-12T07:21:37Z
dc.title.none.fl_str_mv Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
title Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
spellingShingle Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
Zavala-Rojas, Diana
Traducció automàtica
Traduccions
Lingüística
title_short Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
title_full Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
title_fullStr Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
title_full_unstemmed Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
title_sort Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts
dc.creator.none.fl_str_mv Zavala-Rojas, Diana
Behr, Dorothée
Dorer, Brita
Sorato, Danielly
Keck, Veronika
author Zavala-Rojas, Diana
author_facet Zavala-Rojas, Diana
Behr, Dorothée
Dorer, Brita
Sorato, Danielly
Keck, Veronika
author_role author
author2 Behr, Dorothée
Dorer, Brita
Sorato, Danielly
Keck, Veronika
author2_role author
author
author
author
dc.subject.none.fl_str_mv Traducció automàtica
Traduccions
Lingüística
topic Traducció automàtica
Traduccions
Lingüística
description A highly controlled experimental setting using a sample of questions from the European Social Survey (ESS) and European Values Study (EVS) was used to test the effects of integrating machine translation and post-editing into the Translation, Review, Adjudication, Pretesting, and Documentation (TRAPD) approach in survey translation. Four experiments were conducted in total, two concerning the language pair English-German and two in the language pair English-Russian. The overall results of this study are positive for integrating machine translation and post-editing into the TRAPD process, when translating survey questionnaires. The experiments show evidence that in German and Russian languages and for a sample of ESS and EVS survey questions, the effect of integrating machine translation and post-editing on the quality of the review outputs—with quality understood as texts output with the fewest errors possible—can hardly be distinguished from the quality that derives from the setting with human translations only.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/69793
http://dx.doi.org/10.1093/poq/nfad060
url http://hdl.handle.net/10230/69793
http://dx.doi.org/10.1093/poq/nfad060
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Public Opinion Quarterly. 2024 Apr 12;88(1):123-48
info:eu-repo/grantAgreement/EC/H2020/823782
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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