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    题名: Textual analysis for studying Chinese historical documents and literary Novels
    作者: 劉昭麟
    Liu, Chao-Lin
    Jin, Guan-Tao
    Wang, Hongsu
    Liu, Qing-Feng
    Cheng, Wen-Huei
    Chiu, Wei-Yun
    Tsai, Richard Tzong-Han
    Wang, Yu-Chun
    贡献者: 資訊科學系
    关键词: Character recognition;Computational linguistics;Data mining;History;Natural language processing systems;Text processing;228 incident in Taiwan;Digital humanities;Geographical analysis;Historical documents;Keyword collocation;Name disambiguation;Named entity recognition;Temporal analysis;Text mining;Textual analysis;Computer aided analysis
    日期: 2015-10
    上传时间: 2017-08-10 15:15:38 (UTC+8)
    摘要: We analyzed historical and literary documents in Chinese to gain insights into research issues, and overview1 our studies which utilized four different sources of text materials in this paper. We investigated the history of concepts and transliterated words in China with the Database for the Study of Modern China Thought and Literature, which contains historical documents about China between 1830 and 1930. We also attempted to disambiguate names that were shared by multiple government officers who served between 618 and 1912 and were recorded in Chinese local gazetteers (/di4 fang1 zhi4/). To showcase the potentials and challenges of computer-assisted analysis of Chinese literatures, we explored some interesting yet non-trivial questions about two of the Four Great Classical Novels of China: (1) Which monsters attempted to consume the Buddhist monk Xuanzang in the Journey to the West (/xi1 you2 ji4/, JTTW), which was published in the 16th century, (2) Which was the most powerful monster in JTTW, and (3) Which major role smiled the most in the Dream of the Red Chamber (/hong2 lou2 meng4/), which was published in the 18th century. Similar approaches can be applied to the analysis and study of modern documents, such as the newspaper articles published about the 228 incident that occurred in 1947 in Taiwan. Copyright is held by the owner/author(s). Publication rights licensed to ACM.
    關聯: ACM International Conference Proceeding Series, Volume 07-09-Ocobert-2015, 7 October 2015, 論文編號 a30
    ASE BigData and SocialInformatics, ASE BD and SI 2015; Kaohsiung; Taiwan; 7 October 2015 到 9 October 2015; 代碼 118806
    数据类型: conference
    DOI 連結: https://arxiv.org/abs/1510.03021
    DOI: 10.1145/2818869.2818912
    显示于类别:[資訊科學系] 會議論文

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