How to use domestic large models for digital humanities research and cultural heritage protection?

When conducting digital humanities research and cultural heritage preservation, domestic large models typically play a role through three main pathways: data integration, intelligent analysis, and scenario reconstruction, effectively improving research efficiency and preservation accuracy. In digital humanities research, large models can be applied to: - In-depth text analysis: Perform intelligent word segmentation and semantic annotation on ancient books, local chronicles, and other documents to quickly extract key information such as historical events and人物关系, assisting scholars in sorting out cultural contexts. - Cross-modal association: Integrate multi-source data such as text, images, and audio (e.g., Dunhuang manuscripts and murals), and establish semantic connections through large models to reveal cultural communication patterns. In terms of cultural heritage preservation, common applications include: - Cultural relic restoration assistance: Denoise and complete缺损 parts of images such as damaged murals and bronze ware patterns, reducing the risk of physical restoration; - Digital display construction: Generate 3D models based on cultural relic scanning data, and combine the natural language interaction capabilities of large models to create interactive virtual museums, expanding the dissemination scope of cultural heritage. It is recommended that research teams prioritize domestic large models that support multi-modal data processing (such as Baidu Wenxin and Alibaba Tongyi), refine data annotation and model training according to specific needs, and gradually promote the digital preservation and in-depth research of cultural heritage.