Research on Automatic Error Recognition of Machine English Translation Based on Multi-feature Fusion

The role of automatic error recognition in machine English translation is very important, but there is a problem of low error recognition accuracy. The normal method cannot solve the problem of automatic recognition of machine English translation errors in English translation, and the recognition is incorrect. Therefore, this paper proposes a multi-feature fusion to carry out a comprehensive automatic error recognition analysis of machine English translation. Firstly, the computer is used to analyze and evaluate the automatic identification system, and the indicators are divided according to the automatic recognition requirements of machine English translation errors to reduce them Automatic identification of interference factors in machine English translation errors. Then, the computer evaluates the automatic recognition of machine English translation errors to form an automatic recognition scheme for machine English translation errors, and automatically identifies machine English translation errors The results were comprehensively analyzed. MATLAB simulation shows that under certain evaluation criteria, multi-feature fusion automatically identifies machine English translation errors for English translation The accuracy and automatic recognition time of machine English translation errors are better than ordinary methods.