Research on Natural Language Recognition Processing System in Computer Intelligent Graphics

This paper proposes a natural language processing method based on grammar rule matching. Then the construction model of NLP system based on this algorithm is given. Set up an interactive editing environment to compress and encode the recorded information and upload it to the server. After cross-editing, it is input into the embedded system to complete the identification process and then achieve the identification of the session semantic block, the identification of the session topic, and the extraction of the session content. The proposed method is tested systematically, and the results show that the accuracy of the proposed method reaches 93%.