고유번호: http://www.riss.kr/link?id=A106291390

제목: 딥러닝으로 불경 읽기 - Word2Vec으로 CBETA 불경 데이터 읽기

저자명: 김바로 (Kim Baro )

학술지명: 원불교사상과 종교문화

권호사항: 제80권 

수록면: 249-279

발행처: 원광대학교 원불교사상연구원

발행년도: 2019. 

등재정보: KCI 

기타사항: 

초록: 

This study explored how to analyze and visualize the Buddhist scriptures using the deep learning method Word2Vec using CBETA data, and based on this, examined the advantages and disadvantages of how artificial intelligence read the Buddhist scriptures.

First of all, the Buddhist study on artificial intelligence presented a phenomenon focusing on the aspects of criticism on artificial intelligence, and proposed the study of Buddhism using artificial intelligence. To this end, the theoretical background and analysis algorithm of Buddhist scripture analysis through Word2Vec were described, the method by which Buddhist researchers could explore the analysis results was presented, and a visualization method was presented to enable Buddhist researchers to easily access and use the analysis results.

Finally, the strengths of artificial intelligence were "broad view," "different view," and "digital academic development," while shortcoming was to describe the limitations of formative approach, unexplained artificial intelligence, and incomprehensible AI problems. And as a way to solve the problem described, I proposed a Buddhist study digital ontology to transplant Buddhist knowledge and manas to digital.