조선일보와 노동신문의 어휘 의미 비교 연구

Abstract

This study builds up a methodological pipeline to compare the lexical difference between the South Korean data and the North Korean data using the recent techniques of natural language processing. Assuming that the Chosun-ilbo and Rodong-shinmun are the counterpart of each other, we created the word embedding models to compare the distributional properties. We collected the data published in the newspapers from 2015 to 2017, preprocessed the texts, and then ran the Word2Vec library with the manipulated data. Classifying the patterns of lexical difference into four subtypes, we delved into how the two Korean languages have been lexically divergent.