With the development and application of computer science and technology innovation, artificial intelligence industry has achieved sharp development, and its technology has been widely used in many fields, such as natural language processing, robot manufacturing, semantic recognition, information system development, etc. In terms of natural language processing, the recognition and understanding of human language based on artificial intelligence has become the focus of research. And as semantic recognition and processing play an important part of natural language processing, they have achieved satisfactory results in the Abstract Meaning Representation (AMR) and Vector Space Model (VSM) development and application. Based on this, this paper takes the English recognition as the research object, adopts the scientific research methods such as literature analysis, practice investigation and experimental research, further analyzes English semantic recognition based on AMR and VSM from the aspects of semantic recognition difficulty, principles of AMR and VSM and its application in English recognition, as well as the practical applications. The author hopes to provide references for future research.
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