SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities

Understand

The rapid advance in artificial intelligence technology has facilitated the prosperity of digital humanities research.

• Against such backdrop, research methods need to be transformed in the intelligent processing of ancient texts, which is a crucial component of digital humanities research, so as to adapt to new development trends in the wave of AIGC.
• In this study, we propose a GPT model called SikuGPT based on the corpus of Siku Quanshu.
• The model's performance in tasks such as intralingual translation and text classification exceeds that of other GPT-type models aimed at processing ancient texts.