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This research aims to assess the accuracy and fluency of machine versus human translation in an EFL context.

Evaluating accuracy and fluency in machine and human translation: a genre-based multidimensional quality metrics (MQM) study in an English as a foreign language (EFL) context

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This research aims to assess the accuracy and fluency of machine versus human translation in an EFL context.
Utilized genre-based multidimensional quality metrics for evaluation.
Compared machine translations with human translations in various EFL scenarios.
Analyzed learners' perceptions of translation quality.
Machine translations demonstrated higher accuracy in technical texts (p<0.05).
Human translations were preferred for fluency in creative texts (95% CI, p<0.01).
Learners indicated a strong preference for human translation in language learning.

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Randomized trial evaluates translation quality metrics in EFL learners, suggesting shifts in translation pedagogy.

Junining et al. (2026) studied this question.

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