Design of language cognitive process simulation and automated grammar generation system based on artificial intelligence

With the diversification of social demands and the continuous rise of learning costs, language learners urgently need an efficient learning method to master a language in a relatively short period of time. As one of the core challenges in the field of natural language processing, language cognitive process simulation aims to enable computers to understand and generate natural language, thereby achieving effective communication with humans. In recent years, the rapid development of artificial intelligence (AI) technology has driven the rapid progress of natural language processing (NLP) research, making it one of the important directions of scientific research. This article proposes an AI based language cognitive process simulation and automated grammar generation system. This system combines deep learning (DL) technology to efficiently model the language cognitive process by simulating the cognitive mechanisms of human language processing. At the same time, the system also has an automated grammar generation function, which can generate grammar structures that comply with specific language norms based on rules or statistical models, providing strong support for language learning and teaching. The results indicate that the system performs well in syntactic analysis and grammar generation tasks.