Design and Application of English Machine Translation System Based on Clustering Analysis Algorithm

With the development of the times, English MT (machine translation) is used more and more. In order to improve the accuracy and adaptive tracking of English MT, English MT system needs to be used. Nowadays, the accuracy of English MT system is not high, so new technologies need to be used to improve it. This paper studies the design and application of English MT system based on clustering analysis algorithm, aiming at upgrading English MT system through clustering analysis algorithm. This paper tests the recall ratio of English MT using clustering algorithm between 90% and 100
^%
through experiments. The recall ratio of traditional English MT is between 80% and 90%, the recall ratio of English MT using clustering algorithm is also between 90% and 100
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, and the recall ratio of traditional English MT is between 80% and 90%. From these experimental data, people can know that clustering analysis algorithm can play a good role in English MT system.