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.
Highlights
Machine translation, as the name implies, is automatically translating one natural language text into another natural language text
Gupta A verified that the performance improvement of MFEA compared with the single-task optimization algorithm was due to knowledge transfer between tasks rather than the increase of diversity caused by the optimization of different populations in a unified search space [22]
Because the research and development of the automatic machine translation system are very complex and need a lot of time and money, the machine translation system is very expensive. e evaluation of the machine translation system can effectively analyze and guide the rational development of the translation system. erefore, the research on the evaluation of machine translation system is of great significance
Summary
As the name implies, is automatically translating one natural language text into another natural language text. Erefore, along with the progress of machine translation technology in recent years, researchers are committed to designing more reasonable evaluation methods. Erefore, the usual method is to evaluate the machine translation given a reference translation with the help of monolingual evaluators who can understand the target language. Such an evaluation is conducted sentence by sentence. Erefore, machine translation research prefers automatic evaluation. E main method to determine the parameters is to recycle the two processes of translation and evaluation to find the parameter setting with high translation quality. Erefore, this paper proposes an English translation quality evaluation model integrating knowledge transfer and wireless network, which mainly lies in using wireless network technology to achieve multitask coordination and using knowledge transfer optimization technology to construct an English translation quality evaluation model
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