The purpose of this study is to find and discuss linguistics implications that can be found in the distribution of endings in Korean textbooks through quantitative analysis of listening and reading passages in Korean textbooks. Through this work, we will have more meaningful information about the distributional characteristics of the appearance of endings in Korean textbooks, and it is expected that this information can be used as an objective basis for seeking improvements in Korean textbooks. This study used Korean textbooks published by Seoul National University as analysis data. Python was used as an analysis tool. The kkma morpheme analyzer included in the konlpy package was used. For analysis, functions such as ‘kkma.sentences()’, ‘kkma.morphos()’, ‘kkma.pos()’, and ‘len()’ were applied. I went through the process of configuring it as a data frame using the pandas library. Through this process, it was possible to know the characteristics of the type frequency and appearance frequency of final endings, pre-final endings, conjunctive endings, and function-converting endings in listening and reading passages, respectively. In addition, the necessary items for the kkma morpheme analyzer to perform more appropriate endings analysis were also mentioned.
Read full abstract