Abstract:

We propose a recognition method for Chinese prosodic phrases based on Chunk and the AdaBoostSVM algorithm. Firstly, the initial chunks are marked on the corpus of automatic word segmentation and the part of speech tagging, and then they are merged using the rules based on the closeness between initial Chunks. Secondly, based on the block structure and the AdaBoostSVM integrated algorithm, a Chinese prosodic phrase recognition model is constructed. Meanwhile we utilize various algorithms to build different models which use or not use Chunk information. Comparative experimental results show that the shallow syntactic information chunks make a positive and effective contribution to Chinese prosodic phrase recognition, and the performance of the AdaBoostSVM model is better.

Key words: Chinese chunk;AdaBoost-SVM;prosodic phrase;recognition