What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT
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Abstract (arXiv)
Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation (HT) contains such errors has not yet been compared to MT. We compile pre-translated documents in which MT and HT are interleaved, and ask professional translators to flag errors and post-edit these documents in a blind evaluation. We find that the post-editing effort for MT segments is only higher in two out of three language pairs, and that the number of segments with wrong terminology, omissions, and typographical problems is similar in HT.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 3; 2025: 0; 2026: 1.
5 papers.
- 2021Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translationcited by 333
- 2024GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levelscited by 20
- 2024Can Automatic Metrics Assess High-Quality Translations?cited by 16
- 2024Towards Tailored Recovery of Lexical Diversity in Literary Machine Translationcited by 5
- 2026When Readability and Source Retention Diverge: An Evaluability Gap in AI Translationcited by 0
- 2026When Readability and Source Retention Diverge: An Evaluability Gap in AI Translation19 Aug 2026
- 2024Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation30 Aug 2024
- 2024GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels4 Jul 2024
- 2024Can Automatic Metrics Assess High-Quality Translations?28 May 2024
- 2021Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation29 Apr 2021