Design of Intelligent Recognition English Translation Model based on Association Rule Mining

Abstract

Due to the rapid development of globalization, the information flow between different countries shows high speed, and English has become the main language of international communication. At present, the application value of intelligent recognition technology in different fields is increasing. The English machine translation model based on modern intelligent recognition technology can improve the efficiency and accuracy of English machine translation and realize barrier free communication. However, the traditional English machine translation method based on syntactic analysis can not solve the problem of partial structural ambiguity in the massive English language in intelligent recognition technology, which has the problem of low accuracy of machine translation. With the development of modern intelligent recognition technology, there are many intelligent machine translation tools. The current machine translation results of online machine translation still have some defects, especially after the server is used to carry out comparative learning on data in different languages in the full text range, it can obtain the grammar and text correlation laws between languages, which has the disadvantages of low efficiency and low accuracy of machine translation. Therefore, the recognizable technology of association rule mining should be used to realize accurate machine translation of English.