15th Annual Conference of the International Speech Communication Association

September 14-18, 2014

Improving Mandarin Prosodic Boundary Prediction with Rich Syntactic Features

Hao Che, Jianhua Tao, Ya Li

Chinese Academy of Sciences, China

Previous researches indicated that the performance of automatic prosodic boundary labeling benefited from syntactic phrase information for Mandarin. However, the influence of other syntactic features such as dependency has not been studied in-depth yet, especially on large scale corpus. This paper demonstrates the usefulness of rich syntactic features for Mandarin phrase boundary prediction. Both syntactic phrase and dependency features are considered in our methods. The experimental results show that rich syntactic features improve the performance of prosodic boundary prediction effectively.

Full Paper

Bibliographic reference.  Che, Hao / Tao, Jianhua / Li, Ya (2014): "Improving Mandarin prosodic boundary prediction with rich syntactic features", In INTERSPEECH-2014, 46-50.