학술논문
Complex Pattern Recognition and Understanding Model in English Linguistics based on Random Walk and Measure Analysis Algorithm
Document Type
Conference
Author
Source
2022 International Conference on Inventive Computation Technologies (ICICT) Inventive Computation Technologies (ICICT), 2022 International Conference on. :1111-1114 Jul, 2022
Subject
Language
ISSN
2767-7788
Abstract
This paper studies the complex pattern recognition and understanding model in English linguistics based on random walk and measure analysis algorithm. Concept retrieval breaks through the defects of mechanical matching limited to surface form, and recognizes and processes users' retrieval requests from the level of conceptual meaning expressed by words. Concept is a generalization of the essential characteristics of objective things, which is expressed through conceptual description elements such as words, words, and phrases. With this theoretical background, this research work discusses about the novel algorithm of random walk and measure analysis algorithm. The designed model is applied to the complex pattern recognition and understanding model in the English linguistics. Through the systematic testing, the performance of the model is validated.