Evaluation of the Quality and Efficiency of English Translation of AI in Chinese Dance

Research Article
Open access

Evaluation of the Quality and Efficiency of English Translation of AI in Chinese Dance

Yunshu Bai 1 , Yao Tong 2*
  • 1 Guizhou Normal University, Guiyang, China    
  • 2 School of Music, Shaanxi Normal University, Xi'an, China    
  • *corresponding author 2959784737@snnu.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

With the deep application of artificial intelligence technology in the field of translation. As an important carrier of traditional culture, the theory of Dance of China Dance has special requirements for machine translation due to its unique terminology system and aesthetic characteristics, it is urgent to establish a scientific evaluation system to examine the actual performance of existing AI translation systems in such texts. Taking an introduction to Chinese dance imagery as the research object, this study uses comparative analysis to evaluate the performance of ChatGPT and DeepSeek in the translation of professional dance texts. By constructing a four-dimensional evaluation system including language fluency, grammatical normalization, culturally-loaded word processing and original text fidelity. It is found that AI translation performs well at the level of basic language transfer. But at the same time, AI translation also presents such problems as simplification of cultural images, mistranslation of technical terms and loss of aesthetic features. Based on the empirical data, this study proposes the following suggestions to improve the quality of translation by building a professional terminology database and optimizing the context understanding algorithm.

Keywords:

Artificial Intelligence, Chinese-English Translation, Dance of China, Cross-Cultural Communication, Chinese Traditional Culture

Bai,Y.;Tong,Y. (2025). Evaluation of the Quality and Efficiency of English Translation of AI in Chinese Dance. Lecture Notes in Education Psychology and Public Media,94,45-49.
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References

[1]. Yang, Y. and Wang. (2024). Research on the Dilemma and Strategy of Machine Translation under the Background of Artificial Intelligence. Journal of Jiamusi Vocational Colleges, (10), 31-33.

[2]. Jiang, J. (2024). The Impact of Artificial Intelligence Technology on Language Translation and its Countermeasures. Overseas English, (20), 16-18.

[3]. Guo, H. (2018). On the Image-Building of Dance of China. Journal of Beijing Dance Academy, (03), 51-56.

[4]. Zhao, Y., Zhang, H. and Yang, Y. (2024). A Comparative Study of the Quality of the Grand Language Model in Text Translation--A Case Study of the Translation of Flowers. Foreign Language Audio-Visual Teaching, (04), 60-66 + 109.

[5]. Ma, W., Liu, J. and Zhu, X. (2020). Research on the Standardization of Machine Translation Capability Level Evaluation Based on Artificial Intelligence. Information Technology and Standardization, (Z1), 21-26.

[6]. Liu, Y. and Wang, J. (2007). "Faithfulness, Expressiveness and Elegance"--A High-Level Standard of Aphorismization—The Unification of Traditional Standards of Translation and the Challenges It Faces. Acta Xiangtan University (Philosophy and Social Sciences), 31(5), 151-152.

[7]. Liu, J. (2019). On the Interaction between English Grammar and English Translation. Chinese Scientific Journal Database (Abstract Edition) Education, (1), 331-331.

[8]. Lo, Y. (2021). Translation Methods of Culture-Loaded Words in CET-4 from the Perspective of Cultural Confidence. Overseas English, (3), 81-82.

[9]. Ge, L. (2002). Implications of Adaptation Theory for Translation Studies—Also on Pragmatic Translation Criteria. Journal of Foreign Languages, (3), 7-11.

[10]. Wei, B. (2024). Advancements and Challenges in AI-Driven Creative Translation: A Comprehensive Analysis. Applied and Computational Engineering, 82, 82-87.

[11]. Mohamed, Y.A., Khanan, A., Bashir, M., Mohamed, A.H.H., Adiel, M.A. and Elsadig, M.A. (2024). The Impact of Artificial Intelligence on Language Translation: A Review. IEEE Access, 12, 25553-25579

Cite this article

Bai,Y.;Tong,Y. (2025). Evaluation of the Quality and Efficiency of English Translation of AI in Chinese Dance. Lecture Notes in Education Psychology and Public Media,94,45-49.

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]. Yang, Y. and Wang. (2024). Research on the Dilemma and Strategy of Machine Translation under the Background of Artificial Intelligence. Journal of Jiamusi Vocational Colleges, (10), 31-33.

[2]. Jiang, J. (2024). The Impact of Artificial Intelligence Technology on Language Translation and its Countermeasures. Overseas English, (20), 16-18.

[3]. Guo, H. (2018). On the Image-Building of Dance of China. Journal of Beijing Dance Academy, (03), 51-56.

[4]. Zhao, Y., Zhang, H. and Yang, Y. (2024). A Comparative Study of the Quality of the Grand Language Model in Text Translation--A Case Study of the Translation of Flowers. Foreign Language Audio-Visual Teaching, (04), 60-66 + 109.

[5]. Ma, W., Liu, J. and Zhu, X. (2020). Research on the Standardization of Machine Translation Capability Level Evaluation Based on Artificial Intelligence. Information Technology and Standardization, (Z1), 21-26.

[6]. Liu, Y. and Wang, J. (2007). "Faithfulness, Expressiveness and Elegance"--A High-Level Standard of Aphorismization—The Unification of Traditional Standards of Translation and the Challenges It Faces. Acta Xiangtan University (Philosophy and Social Sciences), 31(5), 151-152.

[7]. Liu, J. (2019). On the Interaction between English Grammar and English Translation. Chinese Scientific Journal Database (Abstract Edition) Education, (1), 331-331.

[8]. Lo, Y. (2021). Translation Methods of Culture-Loaded Words in CET-4 from the Perspective of Cultural Confidence. Overseas English, (3), 81-82.

[9]. Ge, L. (2002). Implications of Adaptation Theory for Translation Studies—Also on Pragmatic Translation Criteria. Journal of Foreign Languages, (3), 7-11.

[10]. Wei, B. (2024). Advancements and Challenges in AI-Driven Creative Translation: A Comprehensive Analysis. Applied and Computational Engineering, 82, 82-87.

[11]. Mohamed, Y.A., Khanan, A., Bashir, M., Mohamed, A.H.H., Adiel, M.A. and Elsadig, M.A. (2024). The Impact of Artificial Intelligence on Language Translation: A Review. IEEE Access, 12, 25553-25579

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