Chinese Part-of-speech Tagging Based on Fusion Model
Guanglu Sun, Fei Lang, Peili Qiao, Zhiming Xu · 2008
This paper proposes a new part-of-speech tagging algorithm based on the fusion model which combines Maximum Entropy model and Error Correction model.According to the analysis of the two models, the fusion tagging model is utilized with the profits of conditional probability model and rule based model.The selection of features and rule templates in the fusion model is discussed.Experimental results show that the new model achieves impressive accuracy in terms of the Fscore: 93.73%.