Predicting Chinese prosodic boundary based on syntactic features

Ling Zhu · Journal of Northwest Normal University · 2013

This paper proposes a novel method for prosodic boundary prediction by using syntactic features with TBL algorithms.In this paper,the syntactic features including the part-of-speech(POS),the length of lexical word and the height of syntax tree are selected to predict the prosodic word boundary and prosodic phrase boundary by using a transformation-based error-drivenlearning(TBL) algorithm.The experiments demonstrate that our method achieves 98.4% of prediction precision on prosodic word and 82.7% prediction precision on prosodic phrase,better than other methods.

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