In view of the limitations of the traditional decision tree algorithm in the research of System for locating English learning resources, a research scheme of English resource based on Word segmentation algorithm for Chinese was proposed. Firstly, the influencing factors is accurately located through linguistics and statistical theories, and the indicators is reasonably divided to reduce interference, and the Word segmentation algorithm for Chinese is used to construct a research scheme for English resource. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional decision tree algorithm in terms of research accuracy and processing time of influencing factors of English resource, and has obvious advantages. The growth characteristics and product generation of English learning. However, the traditional decision tree algorithm has some limitations in solving the problem of resource query simulation, especially when dealing with complex problems. In this paper, this paper proposes a research scheme of English resource based on Word segmentation algorithm for Chinese to better solve this problem. The scheme accurately locates the influencing factors through linguistics and statistical theories, so as to determine the division of indicators, and uses the Word segmentation algorithm for Chinese to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on Word segmentation algorithm for Chinese in the research of System for locating English learning resources can better solve the limitations of traditional decision tree algorithm and improve the simulation accuracy and efficiency.