Kizito Tekwa. Machine Translation and Foreign Language Learning. Singapore: Springer, 2023. 181 pp. ISBN 978-981-99-8601-9

Reviewed by

Siqi Wang | Southwest Forestry University

Yang Yao | Southwest Forestry University

Qiujun Su | Southwest Forestry University

Published online: 18 August 2026

https://doi.org/10.1075/ttmc.26029.su

References (5)

References

Araghi, Sahar & Alfons Palangkaraya. 2024. “The link between translation difficulty and the quality of machine translation: A literature review and empirical investigation.” Language Resources and Evaluation 581: 1093–1114.

Lianjiang Jiang, Rong Yu. 2024. “Theoretical perspectives and factors influencing machine translation use in L2 writing: A scoping review.” Journal of Second Language Writing 641: 101099.

Naveen, Palanichamy & Pavel Trojovský. 2024. “Overview and challenges of machine translation for contextually appropriate translations.” iScience 27(10): 110878.

O’Neill, Errol M. 2019. “Training students to use online translators and dictionaries: The impact on second language writing scores.” International Journal of Research Studies in Language Learning 8(2): 47–65.

Sha, Lu, Xiaoyue Wang & Tingting Liu. 2025. “Understanding college students’ acceptance of machine translation in foreign language learning: An integrated model of UTAUT and task-technology fit.” Humanities and Social Sciences Communications 121: 561.

Kizito Tekwa. Machine Translation and Foreign Language Learning. Singapore: Springer, 2023. 181 pp. ISBN 978-981-99-8601-9

Kizito Tekwa. Machine Translation and Foreign Language Learning. Singapore: Springer, 2023. 181 pp. ISBN 978-981-99-8601-9