The Model Building of Hierarchical English Machine Translation Depending on the Intelligent Fuzzy Decision Tree Algorithm

How to build a hierarchical English Machine Translation model has become an urgent issue. Here in this thesis the author proposed a model building of hierarchical English Machine Translation depending on the intelligent fuzzy decision tree algorithm. It's based on the characteristics of English Machine Translation by searching for HEMTM relevant to the model building of hierarchical English machine translation depending on the intelligent fuzzy decision tree algorithm from the Internet. On the other hand, the differences of relevant HEMTM on machine translation are also considered in this model by ranking the accuracy of machine translation through the popularity and importance from relevant HEMTM. In the end the model building was proved reasonable and accurate through experiments.