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

Key Points

• The large language model offers distinct translation strategies for classical Chinese poetry, revealing its strengths and weaknesses.
• Human translation of the poem shows greater nuance, suggesting a need for improved cultural context in model outputs.
• This analysis employs a comparative method to highlight variations in translation accuracy and style between models and human translators.
• The findings underscore the potential for large language models to enhance cultural understanding and appreciation of classical poems.

Abstract