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タイトル
和文: 
英文:Exegetical Science for the Interpretation of the Bible: Algorithms and Software for Quantitative Analysis of Christian Documents 
著者
和文: 村井源.  
英文: Hajime Murai.  
言語 English 
掲載誌/書名
和文: 
英文:Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Studies in Computational Intelligence 
巻, 号, ページ Volume 492        pp. 67-86
出版年月 2013年8月31日 
出版者
和文: 
英文:Springer International Publishing 
会議名称
和文: 
英文: 
開催地
和文: 
英文: 
公式リンク http://link.springer.com/chapter/10.1007%2F978-3-319-00738-0_6
 
DOI https://doi.org/10.1007/978-3-319-00738-0_6
アブストラクト Systematic thought (such as Christian theology) has primarily been investigated using literature-based approaches, with texts that are usually more abstract and subjective in nature than scientific papers. However, as systematic ideas and thought influence all areas of human activity and thinking, the application of scientific methodologies such as bibliometrics, natural language processing, and other information technologies may provide a more objective understanding of systematic thought. This paper introduces four methods of quantitative analysis for the interpretation of the Bible in a scientific manner. The methods are citation analysis for interpreters’ texts, vocabulary analysis for translations, variant text analysis for canonical texts, and an evaluation method for rhetorical structure. Furthermore, these algorithms are implemented for Java-based software.

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