A Study on Korean Spoken Language Understanding Model

한국어 구어 음성 언어 이해 모델에 관한 연구

  • 노용완 (성균관대학교 정보통신공학부 휴먼컴퓨터연구실) ;
  • 홍광석 (성균관대학교 정보통신공학부 휴먼컴퓨터연구실)
  • Published : 2003.07.01

Abstract

In this paper, we propose a Korean speech understanding model using dictionary and thesaurus. The proposed model search the dictionary for the same word with in input text. If it is not in the dictionary, the proposed model search the high level words in the high level word dictionary based on the thesaurus. We compare the probability of sentence understanding model with threshold probability, and we'll get the speech understanding rate. We evaluated the performance of the sentence speech understanding system by applying twenty questions game. As the experiment results, we got sentence speech understanding accuracy of 79.8%. In this case probability of high level word is 0.9 and threshold probability is 0.38.

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