Journal of Jilin University Science Edition ›› 2020, Vol. 58 ›› Issue (4): 885-892.

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A Hierarchical Statement Analysis and RecognitionAlgorithm Based on Rule and Syntax Synthesis

JIA Jikang, SHAO Yubin, LONG Hua, DU Qingzhi   

  1. School of Information Engineering and Automation,Kunming University of Science and Technology, Kunming 650500, China
  • Received:2019-08-08 Online:2020-07-26 Published:2020-07-16
  • Contact: SHAO Yubin E-mail:shaoyubin@kmust.edu.cn

Abstract: Firstly, based on the combination of sentence organization information and the influence of rules, partofspeech and word order on the syntax analysis system, we proposed a rulebased sentence analysis and recognition algorithm, which could quickly identify correct sentence patterns in large amounts of text. Secondly, based on the sentence analysis and recognition algorithm, we proposed a hierarchical sentence analysis and recognition algorithm based on the combination of rules and syntax to improve the accuracy of the hierarchical sentence recognition error detection. The experimental results show that the average accuracy rate and average recall rate are 8465% and 7715%, respectively, compared with the rulebased sentence recognition algorithm respectively improve 11.79% and 14.48%. It proves the feasibility of the analysis and recognition of hierarchical sentence combining rule and syntax.

Key words:  , layering, two or three words element, syntax analysis, statement analysis and recognition

CLC Number: 

  • TP391