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August 17, 2025Language learning & technologyOpen Access

Training in machine translation post-editing for foreign language students

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Authors

ZHZhang HongYangzhou UniversityOTOlga Torres-HostenchUniversitat Autònoma de Barcelona

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Implication

Training in machine translation post-editing improved error detection in foreign language students, suggesting enhanced translation skills.

Key Points

  • Experimental group identified and corrected more machine translation mistakes than controls, especially for omission and prepositions.
  • Posttest results indicated faster correction times in the experimental group, highlighting the effectiveness of the training.
  • The intervention involved a pretest-posttest design comparing trained and untrained students to assess training impact.
  • Findings support the inclusion of machine translation post-editing in foreign language curricula for critical engagement.

Cite This Study

Hong et al. (2022) studied this question.

synapsesocial.com/papers/68a370ef0a429f79733336c4https://doi.org/10.64152/10125/73466
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Strategically Informed Machine Translation Post-Editing: Enhancing Translation Performance among Intermediate Chinese EFL Learners2026
  2. 2Second language learners’ post-editing strategies for machine translation errors2023 · 11 citations
  3. 3MT error detection and correction by Chinese language learners2024 · 3 citations
  4. 4The Machine Translation Post-Editing Annotation System (MTPEAS)2024 · 5 citations
  5. 5A Study on Machine Translation Post-Editing Patterns of Learners Majoring in Korean at Vietnamese University2024