An English Translation Quality Evaluation Model Integrating Knowledge Transfer and Wireless Network

Abstract

Machine translation is to automatically translate one natural language text into another. It is one of the important applications of natural language processing. The research of machine translation is closely related to machine translation evaluation technology. Therefore, with the progress of machine translation technology in recent years, researchers are also committed to designing more reasonable evaluation methods. Manual evaluation is costly, time-consuming, and subjective, so it has been difficult to provide practical help for the development of machine translation systems. Finding a feasible automatic machine translation evaluation method has been a hot spot in machine translation evaluation research in recent years. Based on this, this paper proposes an English translation quality evaluation model integrating knowledge transfer and wireless network. Firstly, wireless network technology is used to coordinate multitasks, and then knowledge transfer optimization technology is used to construct an English translation quality evaluation model. In this paper, simulation experiments are designed to verify the effectiveness of the model. The experimental results show that the accuracy of the evaluation method based on fusion technology is significantly improved compared with the existing evaluation methods.