Zavala-Rojas, DianaBehr, DorothéeDorer, BritaSorato, DaniellyKeck, Veronika2025-03-042025-03-042024Zavala-Rojas D, Behr D, Dorer B, Sorato D, Keck V. Using machine translation and post-editing in the TRAPD approach: effects on the quality of translated survey texts. Public Opin Q. 2024 Apr 12;88(1):123-48. DOI: 10.1093/poq/nfad0601537-5331http://hdl.handle.net/10230/69793A 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.application/pdfeng© 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.Traducció automàticaTraduccionsLingüísticainfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1093/poq/nfad060info:eu-repo/semantics/openAccess