文献类型：期刊文献

英文题名：The Measurement of Chinese Sentence Semantic Complexity

作者：Zhu, Shuqin[1,2];Song, Jihua[2];Peng, Weiming[2];Guo, Dongdong[2];Sun, Jingbo[2]

第一作者：Zhu, Shuqin;朱淑琴

通讯作者：Zhu, SQ[1];Zhu, SQ[2];Song, JH[2];Peng, WM[2]

机构：[1]Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China;[2]Beijing Normal Univ, Sch Artificial Intelligence, Beijing 100875, Peoples R China

第一机构：北京联合大学师范学院

通讯机构：[1]corresponding author), Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China;[2]corresponding author), Beijing Normal Univ, Sch Artificial Intelligence, Beijing 100875, Peoples R China.|[1141711]北京联合大学师范学院;[11417]北京联合大学;

年份：2020

卷号：2020

外文期刊名：COMPLEXITY

收录：;WOS:【SSCI(收录号:WOS:000595948500002)，SCI-EXPANDED(收录号:WOS:000595948500002)】；

基金：This work was supported in part by the National Natural Science Foundation of China (Grant nos. 61877004 and 62007004) and the Key Project of the National Social Science Foundation of China (Grant no. 18ZDA295).

语种：英文

外文关键词：Clustering algorithms - Syntactics

摘要：The complexity of language is usually reflected in the complexity of sentences. At present, the research of sentence complexity mainly focuses on the analysis of syntactic complexity. In this paper, from the perspective of Leech's theory of sentence semantic structure, the predication structure is taken as the semantic unit to explore the sentence semantic complexity. The predication structures are extracted based on the result of sentence-based syntactic analysis, and then the linear expression sequence of a sentence is converted into a semantic hierarchy based on predicate semantic frameworks; the universality of predicate semantic frameworks is obtained by using the spectral clustering algorithm; and the sentence semantic complexity depends on the universality of predicate semantic frameworks at various layers. The experimental results show that the measurement method of sentence sematic complexity based on predicate semantic frameworks is more effective by comparing with the method that only considers the semantic categories of words in the sentence.