Research on the Optimization Path of Conventional Semantic Structure Word Order Translation Based on Intelligent Fuzzy Analytic Hierarchy Process

With the development of society and the advancement of science and technology, China’s economy has developed rapidly, and the market has also expanded greatly. If the full integration with the world is needed, it is still necessary to improve the overall English level of the people. Therefore, the research on word order translation of English conventional semantic structure based on intelligent fuzzy Analytic Hierarchy Process (AHP) is becoming more and more important. Although there are many studies on word-order translation studies of English conventional semantic structure, the existing research still needs to be supplemented. In this paper, the research on the word order translation of English conventional semantic structure was discussed. Firstly, the related theoretical overview and related work were organized, and the intelligent fuzzy Analytic Hierarchy Process was introduced. Based on the word order translation modeling of English conventional semantic structure, the related algorithms were written, and the word order translation elements and English conventional semantic structure elements of English conventional semantic structure were introduced. In the fourth part, the research on the characteristic diplomatic language of the community with a shared future for mankind was carried out. In this paper, various algorithms were used to study the subject of word order translation of English conventional semantic structure based on intelligent fuzzy Analytic Hierarchy Process, and the experiments were summarized and discussed. The research results showed that the word order translation accuracy of the English conventional semantic structure based on the intelligent fuzzy Analytic Hierarchy Process constructed in this paper was improved by 7.84%.