Prediction of Prosodic Break Using Syntactic Relations and Prosodic Features

구문 관계와 운율 특성을 이용한 한국어 운율구 경계 예측

  • Jung, Young-Im (Department of Computer Engineering, Pusan National University) ;
  • Cho, Sun-Ho (Department of Computer Engineering, Pusan National University) ;
  • Yoon, Ae-Sun (Department of French, Pusan National University) ;
  • Kwon, Hyuk-Chul (Department of Computer Engineering, Pusan National University)
  • 정영임 (부산대학교 컴퓨터공학과) ;
  • 조선호 (부산대학교 컴퓨터공학과) ;
  • 윤애선 (부산대학교 불어불문학과) ;
  • 권혁철 (부산대학교 컴퓨터공학과)
  • Published : 2008.03.31


In this paper, we suggest a rule-based system for the prediction of natural prosodic phrase breaks from Korean texts. For the implementation of the rule-based system, (1) sentence constituents are sub-categorized according to their syntactic functions, (2) syntactic phrases are recognized using the dependency relations among sub-categorized constituents, (3) rules for predicting prosodic phrase breaks are created. In addition, (4) the length of syntactic phrases and sentences, the position of syntactic phrases in a sentence, sense information of contextual words have been considered as to determine the variable prosodic phrase breaks. Based on these rules and features, we obtained the accuracy over 90% in predicting the position of major break and no break which have high correlation with the syntactic structure of the sentence. As for the overall accuracy in predicting the whole prosodic phrase breaks, the suggested system shows Break_Correct of 87.18% and Juncture Correct of 89.27% which is higher than that of other models.