Evaluating Human and AI-Based Translation of Uzbek Classical Poetry: A Comparative Analysis of Alisher Navoi’s “Qaro Ko‘zim”

Authors

  • Muhayyo Abdulhakimova School of Foreign Languages, Jiangsu University, Zhenjiang, CHINA.
  • Feng Ruizhen Corresponding author:

Keywords:

AI translation, Alisher Navo’i, literary translation, machine translation, poetry translation, Uzbek classical poetry.

Abstract

The study confirms that while AI-based translation systems have made substantial progress in linguistic fluency and semantic interpretation, they remain limited in translating culturally rich poetic texts. Human translators continue to play an essential role in preserving literary meaning and artistic expression. The findings contribute to the growing field of AI-assisted literary translation and provide insights into translation challenges in low-resource languages such as Uzbek.

Author Biographies

Muhayyo Abdulhakimova, School of Foreign Languages, Jiangsu University, Zhenjiang, CHINA.

School of Foreign Languages, Jiangsu University, Zhenjiang, CHINA.

Feng Ruizhen, Corresponding author:

Corresponding author:

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Published

2026-08-07