Demonstrates improved translation quality in teaching strategies, suggesting effective technology integration.
Computational Linguistics tools enhance translation teaching by improving accuracy, fluency, and vocabulary; surveys showed higher scores and fewer errors after use. TS measures translation quality; TE counts grammatical, lexical, structural errors. Results show CL-based teaching improves translation quality, increasing learning efficiency and effectiveness, and supports integrating technology-based techniques into translation pedagogy.
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Fan et al. (2026) studied this question.
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