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The Measurement of Chinese Sentence Semantic Complexity
Complexity ( IF 1.7 ) Pub Date : 2020-11-20 , DOI: 10.1155/2020/8871263
Shuqin Zhu 1, 2 , Jihua Song 2 , Weiming Peng 2 , Dongdong Guo 2 , Jingbo Sun 2
Affiliation  

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.

中文翻译:

汉语句子语义复杂度的度量

语言的复杂性通常反映在句子的复杂性中。目前,句子复杂度的研究主要集中在句法复杂度的分析上。本文从Leech的句子语义结构理论的角度出发,以谓词结构为语义单元来探讨句子语义的复杂性。根据基于句子的句法分析结果提取谓词结构,然后基于谓词语义框架将句子的线性表达序列转换为语义层次。谓词语义框架的普遍性是通过谱聚类算法获得的。句子的语义复杂度取决于谓词语义框架在各个层次上的普遍性。
更新日期:2020-11-21
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