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

Title: Reading Buddhist scriptures with Deep Learning - Reading CBETA Buddhist scriptures data with Word2Vec

Author: Kim, Ba-ro

Journal: Won-Buddhist Thought & Religious Culture

Vol: 80

Pages: 249-279

Published by: The Research Institute of Won-buddhist Thought

Date: 2019.

Register Information: KCI

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<Abstract>

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.