THE MODEL FOR CHINESE BASENP STRUCTURE ANALYSIS

The paper puts forward a potential dependency relation based model for Chinese baseNP structure analysis, which has the following characteristics: The dependency grammar is integrated into the statistical model so that the baseNP structure can be analyzed under the supervision of dependency grammar. The performance of the model is superior to that of pure statistical model, adjacency model; The proposed acquisition algorithm of potential dependency strength is based on MDL principle, in which both the data fitness and the generality of the model are considered. The performance of the algorithm is superior to that of the traditional ML based algorithm; The acquisition algorithm is implemented on the basis of complex feature set, so that the data sparseness problem is solved successfully. The experiment shows that the proposed model is suitable for Chinese baseNP structure analysis.