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In the light of the poor ability to describe the long-distance information of a sentence and the serious data sparse phenomenon of the mainstream n-gram language model, the RNN modeling method which can capture the inherent rules of natural language better and overcome the inadequacy of n-gram model was firstly used for Chinese language. To further improve the model performance, a model combination method was introduced so that RNN and the n-gram model can be merged together respectively. Thisdoi:10.12783/dtetr/oect2017/16128 fatcat:pjsx57opl5b3tavgxo32y3o33m