[학술논문] 딥러닝을 활용한 남북한 의미 변이 탐침 방법론
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
