Predicting chinese prosodic word based on transformation-based error-driven learning
Lianhong Cai · Journal of Northwest Normal University · 2008
A novel approach for predicting chinese prosodic word is introduced.By analyzing a manual tagged corpus,the relationship between lexical word and prosodic word are found.The analysis results show that 24% prosodic words consist of two or more lexical words,and the length of lexical word is a most important feature for predicting prosodic words.A transformation-based error-driven learning algorithm is proposed to predicting prosodic word with lexical features.Experiments demonstrat that the proposed approach outperform other methods with over 97.5% predicting precision.