The Measurement of Chinese Sentence Semantic Complexity
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8871263 |
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| _version_ | 1832554561097695232 |
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| author | Shuqin Zhu Jihua Song Weiming Peng Dongdong Guo Jingbo Sun |
| author_facet | Shuqin Zhu Jihua Song Weiming Peng Dongdong Guo Jingbo Sun |
| author_sort | Shuqin Zhu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-449469e74cbc48e59b3903cb364a8495 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-449469e74cbc48e59b3903cb364a84952025-02-03T05:51:11ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88712638871263The Measurement of Chinese Sentence Semantic ComplexityShuqin Zhu0Jihua Song1Weiming Peng2Dongdong Guo3Jingbo Sun4Teacher’s College of Beijing Union University, Beijing 100011, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaThe 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.http://dx.doi.org/10.1155/2020/8871263 |
| spellingShingle | Shuqin Zhu Jihua Song Weiming Peng Dongdong Guo Jingbo Sun The Measurement of Chinese Sentence Semantic Complexity Complexity |
| title | The Measurement of Chinese Sentence Semantic Complexity |
| title_full | The Measurement of Chinese Sentence Semantic Complexity |
| title_fullStr | The Measurement of Chinese Sentence Semantic Complexity |
| title_full_unstemmed | The Measurement of Chinese Sentence Semantic Complexity |
| title_short | The Measurement of Chinese Sentence Semantic Complexity |
| title_sort | measurement of chinese sentence semantic complexity |
| url | http://dx.doi.org/10.1155/2020/8871263 |
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