arXiv:2505.23831cs.CL2025-05被引 3

用大模型保护中国非遗,让传统文化智能传承

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage

  • 基于开源中文非遗数据训练专用大模型
  • 在非遗问答与推理任务中表现优异
  • 适合文化研究者与数字人文学者使用

中国的非物质文化遗产(ICH)是各民族世代相传的文化财富,见证人类文明演进,对历史传承和文化自信具有不可替代的价值。然而现代化进程加速,使非遗面临损毁、消失与传承断层等严峻挑战。中国拥有联合国教科文组织名录中最多的非遗项目,凸显文化资源丰富性与保护紧迫性。近年来,大语言模型的发展为非遗保护与传播提供了新路径。本研究利用大规模开源中文非遗语料,构建了面向非遗领域的专用大模型 ICH-Qwen,融合自然语言理解与知识推理能力,并通过合成数据与微调技术增强性能。实验表明,该模型在非遗相关任务中具备显著成效。预计其将为非遗的保护、传承与传播提供智能化解决方案,并为非遗可持续发展提供理论与实践参考,同时开拓数字人文研究新方向。

原文摘要 · Abstract (English)

The intangible cultural heritage (ICH) of China, a cultural asset transmitted across generations by various ethnic groups, serves as a significant testament to the evolution of human civilization and holds irreplaceable value for the preservation of historical lineage and the enhancement of cultural self-confidence. However, the rapid pace of modernization poses formidable challenges to ICH, including threats damage, disappearance and discontinuity of inheritance. China has the highest number of items on the UNESCO Intangible Cultural Heritage List, which is indicative of the nation's abundant cultural resources and emphasises the pressing need for ICH preservation. In recent years, the rapid advancements in large language modelling have provided a novel technological approach for the preservation and dissemination of ICH. This study utilises a substantial corpus of open-source Chinese ICH data to develop a large language model, ICH-Qwen, for the ICH domain. The model employs natural language understanding and knowledge reasoning capabilities of large language models, augmented with synthetic data and fine-tuning techniques. The experimental results demonstrate the efficacy of ICH-Qwen in executing tasks specific to the ICH domain. It is anticipated that the model will provide intelligent solutions for the protection, inheritance and dissemination of intangible cultural heritage, as well as new theoretical and practical references for the sustainable development of intangible cultural heritage. Furthermore, it is expected that the study will open up new paths for digital humanities research.

非遗保护大模型数字人文

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