Abstract：This paper proposed a hybrid model to identify Chinese base phrases.At first step ,We use a memory-based learning (MBL) approach to the chunking of nine types of Chinese base phrases and compare the results coming from different feature vectors. In the second series of experiments we used grammar rules that represent the inner structures of base phrases and lexical information to correct the incorrect predictions from the first step. The experiments reported in this paper show competitive results : the precision is 95.2% and the recall is 93.7%.
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