Intelligent English Automatic Translation System Based on Multi-Feature Fusion

Abstract

The current automatic recognition methods of machine English translation errors have poor semantic analysis ability, resulting in low accuracy of recognition results. In order to improve the accuracy of English translation and realize the intelligence of the English translation system, an intelligent method based on multi-feature fusion is proposed. Conception of English automatic translation system. The combined form of semantic feature analysis and phrase translation is used to improve the English bilingual translation algorithm; in addition, cross-editing and multi-threaded phrase translation loading measures are used to complete the intelligent design of the translation system. According to the directed graph of wrong translation results, an automatic recognition algorithm for machine English translation errors is constructed to automatically identify translation errors. The relevant experimental simulations show that the newly designed English phrase translation combined machine automatic translation system has high translation accuracy and recall rate, rarely occurs translation errors, and has strong intelligence.