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Detecting the Lexical Variation between South and North Koreans Using the Deep Learning Techniques

  • Korean Semantics
  • 2021, 74(), pp.113-139
  • DOI : 10.19033/sks.2021.12.74.113
  • Publisher : The Society Of Korean Semantics
  • Research Area : Humanities > Korean Language and Literature
  • Received : August 10, 2021
  • Accepted : December 15, 2021
  • Published : December 30, 2021

Cheong, Yunam 1 Wang,Guehyun 2 Sanghoun Song 2

1중앙대학교 인문콘텐츠연구소
2고려대학교

Accredited

ABSTRACT

Newspapers ordinarily reflect the meaning of lexical items in two Korean language societies and the changes in vocabulary in the times. This study proposes a methodology that automatically probes for semantic variations in which inter-Korean vocabulary differs from large-scale newspaper data. As a theoretical background, we look at the concepts of the distributional semantics and semantic variations. Next, using deep learning’s word embedding skills, we implement a system to probe semantic variations in an automatic way. This study is significant in the following respects. First, this study systematically concerns the difference in the meaning of inter-Korean vocabulary on a comprehensive scale. Second, this study draws a list of inter-Korean semantic variations by means of the deep learning techniques. Third, this study demonstrates that use of word embedding models facilitate automatic extraction of Korean semantic variations.

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