Journal of Applied Science and Engineering

Published by Tamkang University Press

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Exploring the Role of Computational Linguistics in English Translation Pedagogy to Develop Effective Teaching Strategies

 2026

 Volume 32

Ying Fan1 and Yujie Zang2

1Shaoyang University, Shaoyang 422000, Hunan, China

2Shanghai Jianqiao University, Shanghai 201306, Shanghai, China

Received: January 1, 2026
Accepted: March 27, 2026
Publication Date: April 30, 2026

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Computational Linguistics Integration in Translation Education

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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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.

Keywords: Computational Linguistics, Translation Pedagogy, Machine Translation, Error Reduction, Lexical Richness

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