Paper: Decision-Tree Based Error Correction For Statistical Phrase Break Prediction In Korean

ACL ID C00-2156
Title Decision-Tree Based Error Correction For Statistical Phrase Break Prediction In Korean
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

tn this paper, we present a new 1)hrase break prediction architecture that integrates proba- bilistic apt)roach with decision-tree based error correction. The probabilistic method alone usu- ally sufl'crs fronl performance degradation due to inherent data sparseness l)rolflems and it only covers a limited range of contextual informa- tion. Moreover, the module can not utilize the selective morpheme tag and relative distance to the other phrase breaks. The decision-tree based error correction was tightly integrated to overt:ohm these limitations. The initially phrase break tagged morphcnm se- quence is corrected with the error correcting de- cision tree which was induced by C4.5 fl'om the correctly tagged corpus with the outtmt of the 15mbabilistic predictor. The decision tree-based post er...