Analysis of Essays on the Themes of ‘Past’ and ‘Future’

Abstract

The present research reports on an analysis of essays on the themes of ‘past’ and ‘future’. We assign the UniDic morphological information to the digitized essays and analyze them in terms of part-of-speech realization frequencies. Then we match the identified vocabulary with the Fundamental Vocabulary of Educational Purpose and analyze them in terms of the occurrence trend of vocabulary allocation. We also analyzed the data based on the Generalized Linear Mixed Model and compared them by the essay themes and the author attributes such as age groups and gender types. The results have revealed how each attribute characterizes the essay style of each group. The differences are found in the frequency of the “tai (nouns)”, “yoo (verbs)”, and “soo (modifiers)” as well as in the occurrence trend of vocabulary allocation.