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Intelligent Algorithm Design and Program Simulation of Lexical Cohesion Method based on Perceptual Pattern Recognition Algorithm in College English Writing

This paper designs an intelligent algorithm in college English writing based on the lexical cohesion method of perceptual pattern recognition algorithm. First, it analyzes the importance of developing an intelligent English writing training system. The introduction of B/S architecture in the hardware design process makes up for the C/S mode. The main research content is proposed, and then the Entity Framework framework involved in the system is discussed, and the perceptual pattern recognition algorithm is introduced in the lexical cohesion module and software part, and the focus is on sentence segmentation, word segmentation, part-of-speech tagging, and phrase segmentation., spelling proofreading, grammar checking and other natural language processing methods, to deal with the feature extraction and classification of English writing errors.