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An English hierarchical machine translation model (HEMTM) based on intelligent fuzzy decision tree algorithm is proposed. Through searching and hierarchical English machine translation and based on the characteristics of English machine translation, a model is constructed. In this model, the accuracy of machine translation is ranked according to the popularity and semantic importance of language. The results show that when the level of HEMTM model is CFrank, the accuracy of the model is high; when n= 60,δ= 0, the accuracy of the basic model is 68%. This model can provide a reference for the research of English machine translation algorithm.