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단어 임베딩 기법을 이용한 한글의 의미 변화 파악

Understanding the semantic change of Hangeul using word embedding

  • 선현석 (중앙대학교 응용통계학과) ;
  • 이영섭 (동국대학교 통계학과) ;
  • 임창원 (중앙대학교 응용통계학과)
  • Sun, Hyunseok (Department of Applied Statistics, Chung-Ang University) ;
  • Lee, Yung-Seop (Department of Statistics, Dongguk University) ;
  • Lim, Changwon (Department of Applied Statistics, Chung-Ang University)
  • 투고 : 2021.01.04
  • 심사 : 2021.02.15
  • 발행 : 2021.06.30

초록

최근 들어 많은 사람들이 자신의 관심사를 SNS에 게시하거나 인터넷과 컴퓨터의 기술 발달로 디지털 형태의 문서 저장이 가능하게 됨으로써 생성되는 텍스트 자료의 양이 폭발적으로 증가하게 되었다. 이에 따라 수많은 문서 자료로부터 가치 있는 정보를 창출하기 위한 기술의 요구 또한 증가하고 있다. 본 연구에서는 대통령 연설 기록문과 신문기사 공공데이터를 활용하여 한글 단어들이 시간에 따라 어떻게 의미가 변화되어 가는지를 통계적 기법을 통해 발굴하였다. 이를 이용하여 한글의 통시적 변화 연구에 활용할 수 있는 방안을 제시한다. 기존 언어학자나 원어민의 직관에 의해 연구되던 한글의 이론적 언어 현상 연구에서 벗어나 누구나 사용할 수 있는 공공문서를 통해 수치화된 값을 도출하고 단어의 의미변화 현상을 설명하고자 한다.

In recent years, as many people post their interests on social media or store documents in digital form due to the development of the internet and computer technologies, the amount of text data generated has exploded. Accordingly, the demand for technology to create valuable information from numerous document data is also increasing. In this study, through statistical techniques, we investigate how the meanings of Korean words change over time by using the presidential speech records and newspaper articles public data. Using this, we present a strategy that can be utilized in the study of the synchronic change of Hangeul. The purpose of this study is to deviate from the study of the theoretical language phenomenon of Hangeul, which was studied by the intuition of existing linguists or native speakers, to derive numerical values through public documents that can be used by anyone, and to explain the phenomenon of changes in the meaning of words.

키워드

과제정보

이 논문은 2017년도 정부(과학기술정보통신부)의 재원으로 한국연구재단-차세대정보컴퓨팅기술개발사업의 지원을 받아 수행된 연구임(NRF-2017M3C4A7083281).

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