Residential College | false |
Status | 已發表Published |
Developing a Syntactic and Semantic Annotation Tool for Research on Chinese Vocabulary | |
Wang, S.1,2![]() | |
2022-06-16 | |
Conference Name | 22nd Chinese Lexical Semantics Workshop, CLSW 2021 |
Source Publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Volume | 13250 LNAI |
Pages | 272-294 |
Conference Date | 2022/05/15-2022/05/16 |
Conference Place | Nanjing |
Abstract | Syntax and semantics are of great importance for vocabulary research. Large-scale corpus-based studies concerning the syntactic and semantic features of Chinese vocabulary are needed. To fill the gap, this study develops a syntactic and semantic annotation tool based on dependency grammar, and delves into the syntax and semantics of the most frequently used disyllabic visual verb kànjiàn ‘see’ as an example. First, this study developed a syntactic and semantic annotation tool of dependency grammar. Second, this study extracted and selected simple sentences with kànjiàn from large-scale corpora. Third, the tool was used to conduct syntactic and semantic dependency tagging and manual checking. Results show that kànjiàn can appear in six types of syntactic dependencies as a dependent, namely, Head (predicate), Attribute, Coordination, Verb-Object, and Subject-Verb. Moreover, the most frequent syntactic function of kànjiàn is being a predicate, which accounts for 85.4%. The semantic roles that kànjiàn collocates with fall into five categories, which are CONTENT, EXPERIENCER, PLACE, TIME, and MANNER. The two most frequent ones are CONTENT and EXPERIENCER. Further, this paper compared the results with previous Chinese resources. The outcomes of this study prove the importance of the syntactic and semantic annotation tool in analyzing Chinese vocabulary and help us have a deep understanding of the characteristics of Chinese visual verbs. |
Keyword | a Syntactic And Semantic Annotation Tool Dependency Grammar Kànjiàn Semantics Syntax Visual Verbs |
DOI | 10.1007/978-3-031-06547-7_22 |
URL | View the original |
Indexed By | CPCI-S ; CPCI-SSH |
Language | 英語English |
WOS Research Area | Computer Science ; Linguistics |
WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Linguistics ; Language & Linguistics |
WOS ID | WOS:000870753200022 |
Scopus ID | 2-s2.0-85133199056 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | Faculty of Arts and Humanities INSTITUTE OF COLLABORATIVE INNOVATION |
Corresponding Author | Wang, S. |
Affiliation | 1.Department of Chinese Language and Literature, Faculty of Arts and Humanities, University of Macau, Taipa, Macao 2.Institute of Collaborative Innovation, University of Macau, Taipa, Macao |
First Author Affilication | Faculty of Arts and Humanities; INSTITUTE OF COLLABORATIVE INNOVATION |
Corresponding Author Affilication | Faculty of Arts and Humanities; INSTITUTE OF COLLABORATIVE INNOVATION |
Recommended Citation GB/T 7714 | Wang, S.,Liu, X.,Zhou, J.. Developing a Syntactic and Semantic Annotation Tool for Research on Chinese Vocabulary[C], 2022, 272-294. |
APA | Wang, S.., Liu, X.., & Zhou, J. (2022). Developing a Syntactic and Semantic Annotation Tool for Research on Chinese Vocabulary. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13250 LNAI, 272-294. |
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