Design of Foreign Language Learning System Platform Based on Network Text

Under the background of rapid development of high technology, it has become a trend to use scientific and technological means to promote the efficient development of foreign language learning. The purpose is to better adapt to the current development trend, create an intelligent foreign language learning environment and improve the professional level of foreign language learning. In the process of foreign language learning, it is very important to collect, analyze and process information related to organisms, which helps to realize the specialization of foreign language learning. However, sorting algorithms can't accurately collect and analyze information in foreign language learning. Therefore, this paper proposes a network-based algorithm to analyze the system platform. Firstly, this paper uses computer technology to collect information from the Internet, and classifies the indexes according to the requirements of the system platform, so as to reduce the interference factors in the platform. Then, computer technology constructs a scheme for foreign language learning system platform, and makes a comprehensive analysis of the platform results. MATLAB simulation shows that under certain evaluation criteria, the network algorithm for foreign language learning is superior to the recursive algorithm in terms of accuracy and reliability of the system platform.