코퍼스–실험–딥러닝 연구방법론 비교분석: ‘-도록’ 통제 구문을 중심으로

Abstract

This study aims to examine how convergent results are showing on specific language phenomenon, by using methodological pluralism. Focusing on the ‘-tolok’ control construction, we compared the results of three research methodologies: corpus, experiment, deep learning. Previous studies used corpus exploration and language experiment separately or deep learning based on English data. However, it was not sufficiently implemented that comprehensively examining the three methodologies and deep learning analysis using large amount of data based on specific Korean language phenomenon. Accordingly, we demonstrated whether the results of quantitative analysis agree with each other for the ‘-tolok’ control construction using methodological pluralism. Furthermore, the types of Korean ‘control verb’ are classified into two types. This study is significant in showing that different types of methodology can be complement to each other by adding deep learning to the corpus and experimental methods. Additionally, we empirically revealed the necessity of revisiting the using ‘seltukha-’ as a control verb in Korean and presented four verbs that require further study to be classified as control verb, including ‘seltukha-’.