Using Machine Translation and Post-Editing in the TRAPD Approach
Effects on the Quality of Translated Survey Texts
Bibliographic Data
| ID | 6368795 |
|---|---|
| Authors | Diana Zavala-Rojas (0000-0003-4603-7434, Universitat Pompeu Fabra), Dorothée Behr (0000-0002-2653-0531, GESIS - Leibniz Institute for the Social Sciences), Brita Dorer (0000-0001-7916-2296, Head of the Translation Workpackage, European Social Survey ERIC, Mannheim, Germany; and Senior Researcher, Survey Design and Methodology Department, GESIS—Leibniz Institute for the Social Sciences , Mannheim, Germany), Danielly Sorato (0000-0002-4691-7231, Universitat Pompeu Fabra), Veronika Keck (Senior Client Training Consultant, The Nielsen Company (Germany) GmbH (NielsenIQ) , Frankfurt am Main, Germany) |
| Year | 2024 |
| Volume | 88 |
| Issue | 1 |
| Pages | 123-148 |
| Publication date | 2024-04-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Opinion Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0033-362X • E-ISSN: 1537-5331 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/poq/nfad060 |
| PMID | 38617051 |
| OpenAlex | W4393249225 |
| Language | EN |
| Citations received | 4 |
| References cited | 20 |
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
Epistemology · Linguistics · Machine translation · Natural language processing · Quality (philosophy · Translation (biology · Chemistry · Computer Science · Natural Language Processing Techniques · Psychology · Topic Modeling · Artificial Intelligence · Philosophy
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| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |