Design of English-Chinese Translation System Based on User Feature Algorithm

This paper designs the network structure of E-C translation and establishes the semantic map of E-C translation. The clustering and attribute judgment are carried out to complete the establishment of feature extraction algorithm for English-Chinese translation. The software flow includes the underlying database module, the iot control protocol module, the cross-compilation module and the output interface module of translation and conversion. An information processing method based on network environment is proposed. The automatic switching system between English and Chinese machines is realized by using bus automatic control and bottom adaption technology. The experimental results show that the overall translation accuracy of this method has been significantly improved, and it shows good stability and good convergence performance in terms of improving efficiency. Its comprehensive performance can meet the design requirements of effectiveness, and can effectively solve the problems of low accuracy and success rate of electronic translation in E-C mutual translation.