디지털 사회의 가치와 언어 연구 방법

• Published in: 언어와 정보 사회 Vol. 28; pp. 291 - 315
• Main Authors: 조은경, Eun Kyoung Jo
• Format: Journal Article
• Language: Korean
• Published: 서강대학교 언어정보연구소 31.07.2016; 언어정보연구소
• Subjects: accessibility; artificial intelligence; digital society; liberal art; lin-guistic feature; machine learning; 기계 학습; 디지털 사회; 언어적 자질; 언어학; 인공 지능; 인문학; 접근성
• ISSN: 1598-1886; 2713-6817
• DOI: 10.29211/soli.2016.28..010

In this digital society, we seek the covenience even in using language, surrounded by digital environment. A lot of communication take place in online space, through digital computer. Therefore, we can research language based on the digital text resource and use more computational methods called machine learning which became prominent by the most recent AlphaGo and artificial intelligence issues. We present why this machine learning method is useful and necessary and how different theoretical linguistic explanation and computational linguistic feature representation are in terms of accessibilty to machine. We also show the method of representing linguistic features for the machine learning techniques i.e. neural network and bayesian network which started from human mind.