Design of English Translation Software Based on Improved GLR Algorithm

According to the demand of the Chinese market, we should pay attention to students' English language ability. However, English translation software needs more computing resources, and the development of applications on mobile devices is limited by limited storage capacity, computing power and battery power, which can't efficiently handle large-scale operations, thus restricting the development of applications. Therefore, this paper studies the design of English translation software based on the improved GLR algorithm. The results show that the running time of this algorithm is the shortest among the three algorithms, with an average running time of 55 seconds, DM (data mining) of 118 seconds, and ant colony algorithm of 124 seconds. It can be seen that in the same running environment, this algorithm specifies the text location task to be executed in the cloud, and counts the running time data of this task in the cloud, which can be regarded as a trustworthy time consumption expectation. The improved GLR algorithm greatly reduces the calculation pressure and storage pressure of English translation software, and improves the performance and battery life of English translation software. By improving the collection of GLR algorithm and real-time translation system, it has a broad application prospect.