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Trial Development of Folktales' Motif Database and Numerical Analysis of the Structure of Narrative

民间故事母题数据库的试开发与叙事结构的数值分析

基本信息

批准号：
05801071
负责人：
ODA Junichi
金额：
$ 0.7万
依托单位：
Tokyo University of Foreign Studies
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05801071/
关键词：
Folktale Database Motif Narrative Numerical Analysis List 民話データベース物語分析

项目摘要

1.We extracted basic data from Stith Thompson's Motif-Index of Folk-Literature and inputted them on HITAC M-640/35 main-frame computer at Institute for the Study of Languages and Cultures of Asia and Africa (Tokyo University of Foreign Studies). The data will constitute our Folktales' Motif Database.2.On the model of Martinet's functionalism, the "double articulation of motif" is proposed : at the first articulation, motif (i.e., a proposition composed of subject and predicate) is decomposed into "motif-monemes", that is, etic elements (character, action, and circumstances of the action, narrated in a folktale). At the second articulation, motif-moneme is decomposed into "motif-semes", that is, a bundle of semantic features, and emic element consist in a network of the relations among these features. This method can be applied to synthesis of morphology of folktale, based on emic element and analysis of variation based on etic element.3.On the model of Tesniere's "actant", 1,100 motif-monemes are abstracted from a basic data : 391 predicates (verbs in general) which signify a "process" and 719 actants (substantives), including accessorial elements.4.After the determination of logical structure of our database, we start the second articulation (from a motif-moneme to motif-semes). The method of numerical analysis of folktales, by the use of motif's database and another database which contains folktale itself in the form of LIST,is under examination.

1.从Stith Thompson的《民间文学母题索引》中提取基本数据，输入东京外国语大学亚非语言文化研究所HITAC M-640/35大型计算机。2.在马丁内的功能主义理论模型基础上，提出了“母题的双重表达”：在第一次表达时，将母题(一个由主语和谓词组成的命题)分解为“母题-述位”，即语言要素(人物、动作和情节，在民间故事中叙述)。在第二阶段，主位-义素被分解为“主位-义位”，即一串语义特征，主位成分存在于这些特征之间的关系网络中。该方法可用于基于主位元素的民间故事形态合成和基于意位元素的变异分析。3.在Tesniere的“动因”模型上，从表示一个“过程”的391个谓词(一般为动词)和719个动元(实词)(包括辅助元素)中提取1100个主位-主位。4.在确定数据库的逻辑结构后，我们开始第二次连接(从主位-主位到主位-义位)。目前正在研究利用Motif的数据库和另一个以清单形式包含民间故事本身的数据库对民间故事进行数字分析的方法。