Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (17): 48-54.DOI: 10.3778/j.issn.1002-8331.2001-0249

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Research on Semantic Similarity Calculation Based on Depth of CiLin

YANG Quan, SUN Yuquan   

  1. 1.College of Chinese Language and Culture, Beijing Normal University, Beijing 100875, China
    2.School of Mathematical Sciences, Beihang University, Beijing 100191, China
  • Online:2020-09-01 Published:2020-08-31



  1. 1.北京师范大学 汉语文化学院,北京 100875
    2.北京航空航天大学 数学科学学院,北京 100191


To solve the problem of semantic similarity calculation, on the basis of CiLin, it analyzes the organizational relationship between words in CiLin, and analyzes the decisive role of parent node depth in semantic similarity from the perspective of linguistics. The distribution of nodes in each layer and atomic word groups is calculated. The calculation model of parent node depth and the combination of parent node depth and its branch information are proposed. The Pearson correlation coefficients between the semantic similarity calculated by the above two methods and Miller’s manual standard value reach 0.854 and 0.857. The root square error reach 1.003 and 0.991.

Key words: semantic similarity, CiLin, depth, fish swarm algorithm



关键词: 词义相似度, 《同义词词林》, 深度, 鱼群算法