Abstract
Rhyme is the essential part of Hip Hop music. When creating an artificial intelligence that writes a rap lyrics, keeping rhyme in its lyrics will be one of the main issues. Thus, prior to an attempt to create an artificial intelligence that writes lap lyrics in Korean, a computational model that can determine whether two korean words rhyme with each other or not should be developed. While there are existing methods to determine whether two korean words rhyme with each other or not, this research proposes a new method, which is to use unique filtering model alongside with LCS(Longest Common Subsequence) algorithm, that can find two rhyming Korean words.
Web version (Korean)
KSC 2019 Research Paper link (Korean)
라임봇 : LCS 알고리즘을 이용한 한글 단어들 사이의 라임 유사도 판별 모델에 관한 연구
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