现代日本松尾芭树接受的数字人文研究述评:跨越人类阅读与机器阅读的边界

Q4 Arts and Humanities
Yoshitaka Hibi
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引用次数: 0

摘要

在这篇文章中,我对与日本现代文学研究相关的数字人文研究做了一个简要的报告和展望。首先,我回顾了最近数字全文数据库可用性的增加,包括青空文库、国家国会图书馆的下一个数字图书馆、Maruzen电子书图书馆和谷歌图书。接下来,作为使用Next数字图书馆进行以数字人文为基础的文学研究的一个例子,我试图研究1868年至1945年间松尾芭树的接受情况。具体来说,我搜索了Next数字图书馆(Next Digital library)——目前有大约28万本现代图书可供全文搜索——找到了他的一千多部作品,尽管总数因计数方法而异。我在1868年至1945年间出版的书籍中分别研究了俳句的全文数据,使用计算机语言Python自动搜索和检索结果。因此,确定了前30个最常被引用的作品。对于前五名,按出版年份划分的被提及次数也进行了调查。比较了基于人和基于计算机的接收研究的结果,并强调了在理解上下文方面的优势和劣势。至于未来的前景,我讨论了人机协作的重要性,将大规模全文数据集与其他数据库相结合的必要性,以及使用TEI和其他方法构建文本的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Note on Digital Humanities Research on the Reception of Matsuo Bashō in Modern Japan :Crossing Borders between Human Reading and Machine Reading
In this essay, I provided a brief report and perspective on digital humanities research related to the study of modern Japanese literature. First, I reviewed the recent increase in the availability of digital full-text databases, including Aozora Bunko, the National Diet Library’s Next Digital Library, Maruzen eBook Library, and Google Books. Next, as an example of digital humanities-based literary studies using the Next Digital Library, I attempted to study the reception of Matsuo Bashō between 1868 and 1945. Specifically, I searched the Next Digital Library—which currently has about 280,000 modern books available for full-text search—for Bashō’s haiku and found over a thousand works by him, although the total number differs depending on the counting method. I researched the haikus individually for the full-text data in books published between 1868 and 1945, using the computer language Python to automate the search and retrieve the results. Consequently, the top 30 most frequently cited works were identified. For the top five, the number of mentions by year of publication was also investigated. Results between the human- and computer-based reception studies were compared, and the strengths and weaknesses in understanding the context were highlighted. As for future prospects, I discussed the importance of human-computer collaboration, the necessity for combining large-scale full-text data sets with other databases, and the possibilities for structuring text using TEI and other methods.
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