Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions

Sicheng Lu

doi:10.47297/wsprolaadWSP2634-786554.20250605

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Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions

6卷第5期

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Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions
Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions
Bozhou University, Bozhou, Anhui, 236800, China
2025年6卷第5期页码：254-257
纸质出版：2025-10-30
DOI：10.47297/wsprolaadWSP2634-786554.20250605
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Sicheng Lu. (2025). Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions. 文艺发展研究（英文版）, 6(5), 254-257.

Lu Sicheng.Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions[J].Research on Literary and Art Development,2025,06(05):254-257.
Sicheng Lu. (2025). Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions. 文艺发展研究（英文版）, 6(5), 254-257. DOI： 10.47297/wsprolaadWSP2634-786554.20250605.

Lu Sicheng.Evaluating Large Language Models in Classical Chinese Poetry Translation: A Case Study of Zang Hua Yin's English Versions[J].Research on Literary and Art Development,2025,06(05):254-257. DOI： 10.47297/wsprolaadWSP2634-786554.20250605.

摘要

Abstract

This article translates the classical Chinese poem "Burying Flowers" into English using a Large Language Model. We compare it with a human-translated version

examining similarities and differences in translation methods and strategies. We generate suggestions regarding the translation aspects of the Large Language Model

explore its social value

and disseminate outstanding Chinese classical poetry.

关键词

Keywords

references

Qianxi Li, Bao Pang, Yong Song, Hongze Fu, Qingyang Xu, Xianfeng Yuan... & Chengjin Zhang.(2026).Large language model assisted hierarchical reinforcement learning training.Information Sciences,723,122688-122688.

Zhou Zisen, Huang Qi, Tan Zehong, Liu Rui, Cao Ziheng, Mu Fangman... & Qin Shaozheng. Emotional Competence Assessment in Dynamic Social Interaction Scenarios Using Multimodal Large Language Models. Acta Psychologica Sinica, 1-24.

Chen Guoliang, Zhang Lin & Gou Zhenyu. Research on an Intelligent Generation Framework for Peer Review Elements Based on Large Language Models. Theory and Practice of Information Science, 1-12.

Giulia Polverini & Bor Gregorcic. (2025). Multimodal large language models and physics visual tasks: comparative analysis of performance and costs. European Journal of Physics, 46(5), 055708-055708.

Chen Han, Xu Zefeng, Jiang Jiu, Fan Fan, Zhang Junjian, He Chu & Wang Wenwei. Automatic Diagnosis of Cognitive Assessment Scales Based on Large Language Models and Deep Networks. Computer Science, 1-15.

Cui, L. F., Wang, Z. S., Bao, Y. X., & Zhao, H. (2025). A review of automatic question-answering systems and evaluation frameworks in the era of large language models. Computer Engineering and Applications, 1-17.

Jing Wang, Jiahan Zhang, Kaida Yang, Beth Bradshaw Ghavidel, Benyamin Khajetash, Abolfazl Sarikhani... & Meysam Tavakoli. (2025). Enhancing auto-contouring with large language model in high-dose rate brachytherapy for cervical cancers. Medical Physics, 52(10), e70034.

Maikel Leon.(2026).GPT-5 and open-weight large language models: Advances in reasoning, transparency, and control.Information Systems,136,102620-102620.

Peijin Li, Zhijian Hu, Yichen Shen, Xinyan Cheng & Mohannad Alhazmi. (2025). Short-term electricity load forecasting based on large language models and weighted external factor optimization. Sustainable Energy Technologies and Assessments, 82, 104449-104449.

Kibum Moon, Adam E. Green & Kostadin Kushlev. (2025). Homogenizing effect of large language models (LLMs) on creative diversity: An empirical comparison of human and ChatGPT writing. Computers in Human Behavior: Artificial Humans, 6, 100207-100207.

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