The Measurement of Chinese Sentence Semantic Complexity
Joint Authors
Sun, Jingbo
Guo, Dongdong
Zhu, Shuqin
Song, Jihua
Peng, Weiming
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhu, Shuqin& Song, Jihua& Peng, Weiming& Guo, Dongdong& Sun, Jingbo. 2020. The Measurement of Chinese Sentence Semantic Complexity. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145052
Modern Language Association (MLA)
Zhu, Shuqin…[et al.]. The Measurement of Chinese Sentence Semantic Complexity. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1145052
American Medical Association (AMA)
Zhu, Shuqin& Song, Jihua& Peng, Weiming& Guo, Dongdong& Sun, Jingbo. The Measurement of Chinese Sentence Semantic Complexity. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1145052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145052