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甲骨文识别技术研究现状与展望
Research Status and Prospect of Oracle Bone Inscription Recognition Technology
[目的/意义]对数字人文视域下甲骨文识别研究进行系统性综述，为后续研究提供参考和借鉴，推动数字人文研究有效发展与古籍文字识别利用。[方法/过程]采用文献计量分析的方法，在WOS、中国知网等多个学术平台检索文献，共筛选103篇英文文献和52篇中文文献进行综述。[结果/结论]从传统识别技术、机器学习和深度学习3个层面解读甲骨文识别研究现状，但并未深入阐述识别算法机制。甲骨文识别技术由传统的特征提取逐渐转为基于深度学习的识别技术，在识别精度等方面有很大提升，但仍存在一些不足，同时甲骨文知识库、知识图谱的构建与领域知识的建立在该领域有较好的发展潜力。
[Purpose/Significance] Digital humanities research is a prominent research hotspot in the current academic circle. This study systematically reviewed the frontier research on oracle bone inscription recognition from the perspective of digital humanities, which provided reference for follow-up research, promoting the effective development of digital humanities research and the recognition and utilization of characters in ancient books. [Method/Process] The literature was retrieved from multiple academic platforms such as WOS and CNKI using the method of bibliometric analysis, and a total of 103 English literature and 52 Chinese literature were screened for review. [Result/Conclusion] Interpreting the research status of oracle bone inscription recognition from three levels: traditional recognition technology, machine learning and deep learning, which analyzed the research development process, and discussed the future development trend. This paper mainly conducted a systematic review of oracle bone inscription recognition research from the perspective of digital humanities, which analyzed existing research technologies and research directions, but did not elaborate on the recognition algorithm mechanism in depth. Oracle recognition technology has gradually changed from traditional feature extraction to deep learning-based recognition technology. Although the recognition accuracy has been improved, there are still shortcomings such as serious overfitting and low recognition efficiency. Meanwhile, the construction of oracle knowledge base and knowledge graph, and the establishment of domain knowledge have good development potential in this field.
digital humanities / oracle bone recognition / research progress / review
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