Abstract:
[Purpose/Significance]The preservation and utilization of Manchu archives confront significant challenges. The development of an intelligent Manchu-Chinese machine translation system based on the Transformer model holds profound importance for the inheritance of endangered linguistic and cultural heritage. [Method/Process]Leveraging the Transformer-based neural machine translation architecture and optimizing the model according to the linguistic characteristics of Manchu, the system incorporates self-learning and memory mechanisms, continuously improving translation accuracy through iterative optimization.[Result/Conclusion]The Transformer-based Manchu-Chinese machine translation system achieves efficient cross-lingual conversion, addressing a critical technological gap in Manchu language information processing. This system demonstrates substantial application value in the digitization of Manchu archives and Manchu-Han cultural exchange, providing an innovative technological solution for the preservation and transmission of minority languages.