AI技術からみた日本語学、日本語教育研究の展望と課題- 日本語教育の繋がりと協働の新領域をめざして-

Abstract

In today's society, due to the rapid development of AI technology, information and communication technology has entered into life in various fields, and is about to create a great social change. Until now, Japanese language education and information and communication technology have not been so closely linked, but future Japanese language education will need to be linked to new curricula, new technologies and skills in response to these social changes. The social change has been manifested as a decrease in Japanese language learners at universities and a decrease in favorable employment places, and Japanese language education in the future is an issue to be addressed. In this paper, we discussed the possibility of linking text mining techniques related to language processing to humanities research, among various AI technologies. Text mining has been developed since the 2000s, and as a method of searching for useful information from a large amount of linguistic data, it has been used in the fields of social sciences such as sociology, psychology, education, management, nursing, etc. Although it has been used in econometric linguistics and econometrics in the humanities, it mainly focuses on analysis as a quantitative study, and has a distance from fields such as the humanities that focus on qualitative analysis. Recent advances in technology have led to the development of text mining, a technology that displays visual results which can be connected to qualitative analysis, and a natural language processing technology based on machine learning, which is the center of tertiary AI technology. In text mining fields, the possibility of connecting to humanities research and education is expanding widely. Until now, there has been little application of text mining in humanities research and education, but in recent years there has been a movement to apply it to research in Japanese language studies, Japanese literature, and media theory. This paper introduces KHCoder, a text mining tool that can visually process text mining programs such as R developed by Koichi Higuchi (2014), and the results obtained with these tools. This paper introduces an attempt to grasp the contents by linking the results to the qualitative analysis of linguistic materials. KHCoder is now the easiest introductory program for text mining in the humanities, with pre󰠏processing of Japanese, Korean, English and European languages. It would be best if these tools could be used to link humanities research and education to Japanese language education, and to be the starting point for applying AI technology in Japanese language education and curricula.