基於語彙鏈、格律斷詞方法以主題模型進行古詩詞探勘與分析

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P275 - 306

基础与应用科学 > 资讯科学
社会科学 > 管理学

DOI： 10.6382/JIM

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基於语汇链、格律断词方法以主题模型进行古诗词探勘与分析

Exploring and Analyzing Ancient Poetry with LDA Topic Model Based on Lexical Chain and Regulated Verse Segmentation Methods

黄纯敏(Chuen-Min Huang)

资讯管理学报； 26 卷 3 期 (2019 / 07 / 30) ， P275 - 306

繁体中文

主题模型；主题凝聚；古诗分类；诗词格律；中文语句链；潜藏狄利克雷分配； topic model ； topic coherence ； classical poem classification ； Chinese classic poetic formula ； Chinese syntactic chain processing ； LDA

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摘要 │ 参考文献 (44) │ 被引用文献 (1) │ 国际计量

摘要〈TOP〉

并列摘要〈TOP〉

Purpose-To investigate the feasibility of applying Latent Dirichlet Allocation (LDA) to a large number of Chinese ancient poems. This study explores word usages, the connotation of poems, the topical association between poems, and to observe the changes in words between different dynasties. Design/methodology/approach - Since term segmentation techniques of vernacular are often inadequate for classical Chinese poetry, this study proposes two methods - Chinese Syntactic Chain Processing (CSCP) and the Chinese Classic Poetic Formula (CCPF), to process poetry segmentation. The experimental material was collected from ＂The Complete Tang Poetry＂ and ＂The Complete Song Poems＂, totaling 204,633 pieces, constructing the word bag of the LDA, and then implementing CSCPLDA and CCPF-LDA, producing four kinds of Tang, Song Dynasty topic model. All topics were estimated and inferred using Gibbs Sampling, and the parameters were chosen using the preset values of α = 0.5, β = 0.1. The perplexity value is calculated and determined 110 as the LDA topic number, 600 as the iteration number. Findings-The research result observes that even though the number of Tang poetry is much less than that of Song poetry, the number of unique words identified is more than that of Song poetry, indicating that Tang poetry is more pluralistic, lively and diversified; Song poetry tends to be conservative and cautious. The experimental results show that the correct rate of segmented word by CSCP is not as good as CCPF, but the evaluation of UMass Topic Coherence and experts indicates that the generated poetic theme of CSCP-LDA is better than that of CCPF-LDA. Research limitations/implications - Although the correct rate of word segmentation of CCPF is effective, it cannot be applied to non-regulated verse poems, and the CCPF-LDA classification effect is not as good as CSCP-LDA. Future research is recommended to explore ancient poetry classification by using other approach, such as deep neural network approach. Practical implications -Although literati distinguish the poets and poetry in different styles, the rules of the distinction are not obvious and generally recognized; therefore, it is difficult to generate the rules for the classification of poetry from critics' comments or from poetic writing alone. To our best knowledge, the CSCP is the first of its kind to analyze ancient poetry not relying on the rules of classical Chinese regulated verse. This study is also the only one applying LDA to analyze the meaning of verses. With the promising results of topic modeling of this study suggests that the traditional vernacular word segmentation method and the removal of single character are not suitable for the word processing of ancient poetry. Originality/value - We proposed a new poetry segmentation method. The fundamental idea of building CSCP is a bottom-up concatenating process based on the intensity and significance degree of distribution rate to extract meaningful descriptors from a string by processing the direct link and the inverted link in parallel. The process will be iterated until no concatenation can be found.

参考文献 ( 44 ) 〈TOP〉

Xue, N.(2003).Chinese Word Segmentation as Character Tagging.International Journal of Computational Linguistics and Chinese,8(1),29-48.
连结：
罗凤珠(2011)。以语言知识库为基础的智慧型作诗填词辅助系统。教学科技与媒体，95，36-52。
连结：
罗凤珠(2011)。植基於中国诗词语言特性所建构之语意概念分类体系研究。图书与资讯学刊，78，63-86。
连结：
Ageishi, R.,Miura, T.(2008).Named entity recognition based on a Hidden Markov Model in part-of-speech tagging.2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT)
Asahara, M.,Goh, C.L.,Wang, X.,Matsumoto, Y.(2003).Combining Segmenter and Chunker for Chinese Word Segmentation.Proceedings of Second SIGHAN Workshop on Chinese Language Processing

被引用文献 ( 1 ) 〈TOP〉

(2023)。文本分析的基础建设：台湾国会研究词库的建置与测试。台湾政治学刊，27(1)，119-177。

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