Current Research on Intelligent Information Processing for Ancient Books
[Purpose/Significance]The rapid development of AI technology has accelerated the research on intelligent information processing of ancient books.In order to grasp the current research and development trend of this field as a whole,it is necessary to systematically sort out the relevant literature so far and provide reference for related research.[Method/Process]Through a systematic review and analysis of existing literature,it defined the connotation and extension of intelligent information processing of ancient books,summarized the main technical methods,tasks and applications,and discussed the development trend.[Result/Conclusion]Intelligent information processing technology for ancient books is based on statistical learning,machine learning,deep learning,pre-train-ing models and large language models.The main tasks include digitization of ancient books,automatic sentence separation and punctuation,automatic word separation,automatic POS tagging,automatic information extraction,automatic classification,citation analysis,machine translation,entity disambiguation,knowledge base construction,and knowledge graph construction,etc.The main research applications focus on specialized and thematic research.In addition,the application of large language model technology,multimodal intelligent information processing tasks and the deepening and expansion of application scenarios are the development trends of intelligent information pro-cessing for ancient books.
intelligent information processing for ancient booksdigital humanitieslarge language model
万方数据
维普
