AI-Driven Methods for Preservation and Education in Chinese Calligraphy

Abstract

Preserving Chinese calligraphy heritage and enhancing its instruction have become increasingly important in the digital era. Advances in artificial intelligence (AI) provide new tools to analyze, classify, and simulate calligraphic works, thereby enriching traditional teaching and preservation methods. This article surveys how AI techniques—such as image recognition via deep learning and generative modeling—can be applied to Chinese calligraphy. We explore applications including automated style analysis and recognition, AI-assisted tutoring systems, and digital archiving of calligraphic works. These developments demonstrate that AI can significantly improve the transmission, teaching, and conservation of calligraphy.