Abstract
In order to improve the accuracy and reasonableness of using English corpus for translation, a method of using English corpus to perform translation tasks based on fuzzy semantic optimal solution intelligent selection and inspired computing for wireless networks is proposed. The information extraction model using English corpus for translation is constructed, and the fuzzy semantic keyword feature directivity model of English corpus translation is established. Fuzzy semantic ontology feature registration method is used to calculate the fuzzy semantic intelligence optimal solution vector in English translation. The semantic fuzzy feature matching and adaptive subject word registration are realized in English translation. The fuzzy link relation of semantic ontology is established, and the fuzzy semantic optimal solution is obtained. The accuracy of machine translation in English corpus is improved. The experimental results show that the fuzzy semantic optimal solution has better registration performance and the feature matching degree of the subject words is higher, which improves the reasonableness and accuracy of translation in English corpus. At the same time, it provides a new idea for intelligent computation and recognition of wireless network.
Highlights
With the development of intelligent translation technology, machine translation is used to translate English, gradually replacing manual translation, and the accuracy of translation is improved
This paper proposes an information extraction model based on fuzzy semantic optimal solution, which uses English corpora to perform translation operations, and constructs an information extraction model based on fuzzy semantic optimal solution [4]
The contributions of the paper can be summarized as follows: (1) The semantic fuzzy feature matching and adaptive subject word registration are realized in English translation
Summary
With the development of intelligent translation technology, machine translation is used to translate English, gradually replacing manual translation, and the accuracy of translation is improved. Some research results have been obtained, but the traditional methods have some problems, such as the poor ability of context interference suppression and coupling interference To solve this problem, this paper proposes an information extraction model based on fuzzy semantic optimal solution, which uses English corpora to perform translation operations, and constructs an information extraction model based on fuzzy semantic optimal solution [4]. The fuzzy link relation of semantic ontology is established, the fuzzy semantic optimal solution is calculated, and the accuracy of machine translation in English corpus is improved. The semantic fuzzy feature can improve the accuracy of translation effectively (2) Inspired computing for wireless networks is used to deal with the problem that emotional words and evaluation objects ignores the relationship between emotional words and evaluation objects (3) The fuzzy link relation of semantic ontology is established to provide the more flexibility of translation.
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