Exploring the Capabilities of ChatGPT in Ancient Chinese Translation and Person Name Recognition

Shijing Si, Siqing Zhou, Le Tang, Xiaoqing Cheng, Yugui Zhang
12/23/2023
cs.CLcs.AI

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Abstract

ChatGPT's proficiency in handling modern standard languages suggests potential for its use in understanding ancient Chinese. This paper explores ChatGPT's capabilities on ancient Chinese via two tasks: translating ancient Chinese to modern Chinese and recognizing ancient Chinese names. A comparison of ChatGPT's output with human translations serves to evaluate its comprehension of ancient Chinese. The findings indicate that: (1.)the proficiency of ancient Chinese by ChatGPT is yet to reach a satisfactory level; (2.) ChatGPT performs the best on ancient-to-modern translation when feeding with three context sentences. To help reproduce our work, we display the python code snippets used in this study.

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Cite this paper

@article{si2023exploring,
  title  = {Exploring the Capabilities of ChatGPT in Ancient Chinese Translation and Person Name Recognition},
  author = {Shijing Si and Siqing Zhou and Le Tang and Xiaoqing Cheng and Yugui Zhang},
  year   = {2023},
  eprint = {2312.15304},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.15304v2}
}

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