The Role of AI in the Cross-Context Communication of Chinese Ancient Poetry Culture--A Comparative Study of ChatGPT & Deepseek's English Translation of Poetry

Research Article
Open access

The Role of AI in the Cross-Context Communication of Chinese Ancient Poetry Culture--A Comparative Study of ChatGPT & Deepseek's English Translation of Poetry

Xinyi Huang 1*
  • 1 College of Humanities, Shenzhen University, Shenzhen, China    
  • *corresponding author 2022010153@email.szu.edu.cn
LNEP Vol.94
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-80590-111-2
ISBN (Online): 978-1-80590-112-9

Abstract

Under accelerated globalization and frequent cross-cultural exchanges, the English translation of Chinese poetry is of great significance to the dissemination of traditional culture. By comparing the English translations of Chinese ancient poetry by ChatGPT and Deepseek, this study evaluates the cross-contextual communication of AI from the five dimensions. The results show that AI plays a certain role in the cross-context communication of Chinese poetry culture. But simultaneously, the data show that different AIs have different effects on the auxiliary translation of ancient poetry. This means that AI can more accurately convey the cultural connotation of poetry and optimize the effect of cultural transmission by reasonably setting the prompt words. This proves that AI has great potential in promoting the cross-context communication of Chinese ancient poetry culture. Therefore, this paper puts forward the following suggestions: AI developers should tap the potential of models, optimize algorithms, and improve AI's ability to deal with complex cultural connotations and language styles.

Keywords:

Machine Translation, Artificial Intelligence, ChatGPT, Deepseek

Huang,X. (2025). The Role of AI in the Cross-Context Communication of Chinese Ancient Poetry Culture--A Comparative Study of ChatGPT & Deepseek's English Translation of Poetry. Lecture Notes in Education Psychology and Public Media,94,27-32.
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References

[1]. Cheng, F. (2017). Chinese Poetic Writing. New York Review of Books, New York.

[2]. Yang, S., Wang, Y., & Chu, X. (2020). A Survey of Deep Learning Techniques for Neural Machine Translation. arXiv preprint arXiv: 2002.07526.

[3]. Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving Language Understanding by Generative Pre-Training.

[4]. Jiao, W., Wang, W., Huang, J. T., Wang, X., & Tu, Z. (2023). Is ChatGPT a Good Translator? A Preliminary Study. arXiv preprint arXiv: 2301.08745, 1(10).

[5]. Qin, S. (2025). Deepseek: Change and Thinking. China Automotive News, (002).

[6]. Wei, Y., Jia, K., Zeng, R., He, Z., Qiu, L., Yu, W., & Jiang, Y. (2025). Artificial Intelligence Innovation, Development and Governance Reform under the Breakthrough Effect of Deepseek. E-government 1-38.

[7]. Wu, Y., & Hu, G. (2023). Exploring Prompt Engineering with GPT Language Models for Document-Level Machine Translation: Insights and Findings. In Proceedings of the Eighth Conference on Machine Translation, 166-169.

[8]. Gao, Y., Wang, R., & Hou, F. (2024). How to Design Translation Prompts for ChatGPT: An Empirical Study. In Proceedings of the 6th ACM International Conference on Multimedia in Asia Workshops, 1-7.

[9]. Peng, K., Ding, L., Zhong, Q., Shen, L., Liu, X., Zhang, M., & Tao, D. (2023). Towards Making the Most of ChatGPT for Machine Translation. arXiv preprint arXiv: 2303. 13780.

[10]. Freitag, M., Foster, G., Grangier, D., Ratnakar, V., Tan, Q., & Macherey, W. (2021). Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. Transactions of the Association for Computational Linguistics, 9, 1460-1474.

[11]. Gao, R., Lin, Y., Zhao, N., & Cai, Z. G. (2024). Machine Translation of Chinese Classical Poetry: a Comparison among ChatGPT, Google Translate, and DeepL Translator. Humanities and Social Sciences Communications, 11(1), 1-10.

[12]. Seljan, S., Dunđer, I., & Pavlovski, M. (2020, September). Human Quality Evaluation of Machine-Translated Poetry. In 2020, 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 1040-1045. IEEE.

[13]. Hutchins, W. J., & Somers, H. L. (1992). An Introduction to Machine Translation. (No Title).

[14]. Wang, H., & Liu, W. (2021). In the Era of Artificial Intelligence, Translation Technology Turns to Research. Foreign language teaching, (05), 87-92.

[15]. Wang, S., Wong, D. F., Yao, J., & Chao, L. S. (2024). What is the Best Way for ChatGPT to Translate Poetry? arXiv preprint arXiv: 2406.03450.

[16]. Dai, J., & Qin, Y. (2025). Research on the Development and Dissemination of Chinese Civilization Enabled by Deepseek Type Generative Artificial Intelligence. Journal of Chongqing University (Social Sciences Edition), 1-14.

Cite this article

Huang,X. (2025). The Role of AI in the Cross-Context Communication of Chinese Ancient Poetry Culture--A Comparative Study of ChatGPT & Deepseek's English Translation of Poetry. Lecture Notes in Education Psychology and Public Media,94,27-32.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICEIPI 2025 Symposium: AI Am Ready: Artificial Intelligence as Pedagogical Scaffold

ISBN：978-1-80590-111-2(Print) / 978-1-80590-112-9(Online)
Editor：Kurt Buhring, Gregg S. Lloren
Conference website: https://2025.iceipi.org/Cebu.html
Conference date: 23 July 2025
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.94
ISSN：2753-7048(Print) / 2753-7056(Online)

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References

[1]. Cheng, F. (2017). Chinese Poetic Writing. New York Review of Books, New York.

[2]. Yang, S., Wang, Y., & Chu, X. (2020). A Survey of Deep Learning Techniques for Neural Machine Translation. arXiv preprint arXiv: 2002.07526.

[3]. Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving Language Understanding by Generative Pre-Training.

[4]. Jiao, W., Wang, W., Huang, J. T., Wang, X., & Tu, Z. (2023). Is ChatGPT a Good Translator? A Preliminary Study. arXiv preprint arXiv: 2301.08745, 1(10).

[5]. Qin, S. (2025). Deepseek: Change and Thinking. China Automotive News, (002).

[6]. Wei, Y., Jia, K., Zeng, R., He, Z., Qiu, L., Yu, W., & Jiang, Y. (2025). Artificial Intelligence Innovation, Development and Governance Reform under the Breakthrough Effect of Deepseek. E-government 1-38.

[7]. Wu, Y., & Hu, G. (2023). Exploring Prompt Engineering with GPT Language Models for Document-Level Machine Translation: Insights and Findings. In Proceedings of the Eighth Conference on Machine Translation, 166-169.

[8]. Gao, Y., Wang, R., & Hou, F. (2024). How to Design Translation Prompts for ChatGPT: An Empirical Study. In Proceedings of the 6th ACM International Conference on Multimedia in Asia Workshops, 1-7.

[9]. Peng, K., Ding, L., Zhong, Q., Shen, L., Liu, X., Zhang, M., & Tao, D. (2023). Towards Making the Most of ChatGPT for Machine Translation. arXiv preprint arXiv: 2303. 13780.

[10]. Freitag, M., Foster, G., Grangier, D., Ratnakar, V., Tan, Q., & Macherey, W. (2021). Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. Transactions of the Association for Computational Linguistics, 9, 1460-1474.

[11]. Gao, R., Lin, Y., Zhao, N., & Cai, Z. G. (2024). Machine Translation of Chinese Classical Poetry: a Comparison among ChatGPT, Google Translate, and DeepL Translator. Humanities and Social Sciences Communications, 11(1), 1-10.

[12]. Seljan, S., Dunđer, I., & Pavlovski, M. (2020, September). Human Quality Evaluation of Machine-Translated Poetry. In 2020, 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 1040-1045. IEEE.

[13]. Hutchins, W. J., & Somers, H. L. (1992). An Introduction to Machine Translation. (No Title).

[14]. Wang, H., & Liu, W. (2021). In the Era of Artificial Intelligence, Translation Technology Turns to Research. Foreign language teaching, (05), 87-92.

[15]. Wang, S., Wong, D. F., Yao, J., & Chao, L. S. (2024). What is the Best Way for ChatGPT to Translate Poetry? arXiv preprint arXiv: 2406.03450.

[16]. Dai, J., & Qin, Y. (2025). Research on the Development and Dissemination of Chinese Civilization Enabled by Deepseek Type Generative Artificial Intelligence. Journal of Chongqing University (Social Sciences Edition), 1-14.

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