Study on collection and classification of Chinese old tales according to similarity

本数据库由五位合作者从《太平广记》、《搜神记》、《搜神后记》、《古效说句陈》、《艺苑》中选取。与专有名词有关的词，如地名、人名、书名，以及鬼、梦、珍珠、神、陵墓、超人、复活、幽灵、动物、植物和音乐的名称，都被收集并编入索引。参照民族学文献和日本古代故事、散文，将同源故事归为一类。首先，我们选择地名、人名、此外，委员会认为，我们将《太平广记》中的每个故事翻译成日文，并根据其中的主题进行分类，阅读和分析。我们计划将这些分类的《太平广记》故事与翻译成日文的摘要一起出版。这项研究使我们更容易比较中国古代小说，如《陆州世凯》或《唐人志怪》。从不同的角度对小说、故事和成语进行研究，可以为日本和其他国家的研究提供借鉴。在研究的过程中，我们还考察了《太平广记》的各种版本、唐代小说观念、传统故事如董永故事、雷传故事、地域限制故事、旧小说解读等。这样，我们就为与其他体裁的数据进行比较奠定了基础，这是今后进一步深化研究的必要条件。

The database of word usage was constructed from the following books : "Tai ping guang ji", "Sou shen ji", "Sou shen hou ji", "Gu xiao shuo gou chen", "Yi yuan" with five collaborators. Words related to a proper noun such as the name of places, persons, and books, and the names of ghost, dreams, pearls, gods, mausoleums, superhuman beings, revive, apparitions, animals, plants, and music were collected and indexed. Consulting papers on ethnology and Japanese old tales and essays, we classified homologous stories into one category. At first, we input the data in a computer by choosing keywords such as the names of places, persons, books, animals, plants, dream, revive, another world, ghost, fairlyland, apparition, folk belief, Buddhism, Taoism. Furthermore, we read and analyzed the each story of "Tai ping guang ji" by translating it into Japanese and classifying them by identifying topics in it. We are planning to publish these classified stories of "Tai ping guang ji" together with the summary translated into Japanese.This study makes it easier to compare old Chinese novels such as "Rikuchou shikai" or "Strange stories in Tang dynasty" to those in Japan or in other countries in terms of research on novels, tales, and idioms from various orientations. In the process of this research, we also studied various versions of "Tai ping guang ji", concept of novels in Tang dynasty, traditional tales such as Dong Yong tales or Thunder tales, the region restricted stories, and interpretation of old novels. Thus, we have established the basis for the comparison with the data in other genre, which is necessary to deepen this study in future.