我国古籍文献数字化进展迅速，促进了中华传统文化的挖掘与传播。在数字化时代下，古籍文献整理应由静态检索升级到动态表征，利用新型技术提高古籍文献服务效率，对古籍文献序化整理的转型发展具有重要的意义。文章以“世界3”作为理论基础，利用jiayan（甲言）库和隐马尔可夫模型，对《史记》进行分词和词频统计，再对部分高频词的全文分布进行可视化分析，并考虑周边关联词的搭配，为读者提供更加全面的语境信息。文章应用自然语言处理方法对古籍文献做出探索性处理，以望为古籍文献知识组织工作提供可能的参考。

The rapid progress of digitalization of ancient literatures in China has promoted the excavation and dissemination of traditional Chinese culture dynamically. In the digital era, the collation of ancient literatures should be upgraded from static retrieval to dynamic characterization, and the use of new technologies to improve the service efficiency of ancient literatures is of great significance to the transformation and development of ancient literatures' classification. Based on the theory of "World 3", this research conduct a analytical procedure of word segmentation and word frequency on Shi Ji (Historical Records) via Jiayan and Hidden Markov Model and then makes a visual analysis of the full text distribution of some high-frequency words, taking into account the collocation of surrounding related words, so as to provide readers with more comprehensive linguistic information. The procedures of Natural Language Processing conduct by this research on ancient literatures is expected to provide a possible reference for the knowledge organization of ancient books.