International communication has become more and more frequent. English Translation (ET) retrieval can be used in various directions, providing people with more convenient communication, which is a very important way. However, the traditional ET retrieval is too complex, slow and inflexible, which makes it very inconvenient. The depth image was statistically analyzed by data analysis, and the accuracy of Differential Evolution (DE) algorithm was used for accurate translation retrieval. This article compared the ET retrieval based on data analysis depth image and fusion DE algorithm with the traditional ET retrieval. The results of the experiment showed that the average precision rates of the two literary ET retrieval methods were 76.8% and 69.8%, respectively; the average accuracy of the two non-literary ET retrieval methods was 71.3% and 63.1%. Therefore, depth image based on data analysis and fusion DE algorithm can enhance the accuracy of ET retrieval.
