Anthony Pym & Yu Hao. How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training. London and New York: Routledge, 2025. xvii + 193 pp. ISBN 9781032648033 (ebk) / 9781032614953 (pbk)

Reviewed by

Xichen Sun | University of Auckland

Published online: 15 September 2025

https://doi.org/10.1075/dt.25023.sun

References (7)

References

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Hendy, Amr, Mohamed Abdelrehim, Amr Sharaf, Vikas Raunak, Mohamed Gabr, Hitokazu Matsushita, Young Jin Kim, Mohanmed Afify, and Hany Hassan Awadalla. 2023. “How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.” arXiv.

Larionov, Daniil, Sotaro Takeshita, Ran Zhang, Yanran Chen, Christopher Leiter, Zhipin Wang, Christian Greisinger, and Steffen Eger. 2025. “DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?” arXiv.

Littau, Karin. 2016. “Translation and the Materialities of Communication.” Translation Studies 9 (1): 82–96.

Pym, Anthony. 2013. “Translation Skill-Sets in a Machine-Translation Age.” Meta 58 (3): 479–672.

Raunak, Vikas, Amr Sharaf, Yiren Wang, Hany Hassan Awadallah, and Arul Menezes. 2023. “Leveraging GPT-4 for Automatic Translation Post-editing.” arXiv.

Anthony Pym & Yu Hao. How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training. London and New York: Routledge, 2025. xvii + 193 pp. ISBN 9781032648033 (ebk) / 9781032614953 (pbk)

Anthony Pym & Yu Hao. How to Augment Language Skills: Generative AI and Machine Translation in Language Learning and Translator Training. London and New York: Routledge, 2025. xvii + 193 pp. ISBN 9781032648033 (ebk) / 9781032614953 (pbk)