Research on semantic relevancy calculating model of natural language and its weight coefficients
Liu Yun-ton · Jisuanji yingyong yanjiu · 2014
In order to using semantics more effectively and accurately in natural language processing,this paper proposed a semantic relevancy calculating model of natural language,and researched the method to solve the model and the weight coefficients in the model.In the model,the best parsing process for a sentence could be determined by the value of semantic relevancy of the sentence,and the model would be solved by the simple clause resolution method; it finished some experiments to find the range for the weight coefficients and the relations between the weight coefficients and correct rates,finally it finished a group of comparative experiments to find the range for the weight coefficients and the relations between the weight coefficients and the correct rates of the solutions.