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Abstract
Current English-Chinese translation machine can’t understand the source sentence fully. The theory of hierarchical network of concepts is proposed for resolving the problem through methods including function, translator, effect, relation and state. English semantic feature plays an important role in analysis of sentence comprehension. In our study, we discuss the core structure of English semantic respectively and put forward the corresponding of source sentence compared with online machine translation machines .The experimental results can provide technical support for English -Chinese machine translation. Effect chain and judge is called generalized function effect chain, it is not only the basis of element concept classification, but also the foundation of sentence semantic classification.
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