UM  > Faculty of Arts and Humanities
Residential Collegefalse
Status已發表Published
Developing a Syntactic and Semantic Annotation Tool for Research on Chinese Vocabulary
Wang, S.1,2; Liu, X.1; Zhou, J.1
2022-06-16
Conference Name22nd Chinese Lexical Semantics Workshop, CLSW 2021
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13250 LNAI
Pages272-294
Conference Date2022/05/15-2022/05/16
Conference PlaceNanjing
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.

Keyworda Syntactic And Semantic Annotation Tool Dependency Grammar Kànjiàn Semantics Syntax Visual Verbs
DOI10.1007/978-3-031-06547-7_22
URLView the original
Indexed ByCPCI-S ; CPCI-SSH
Language英語English
WOS Research AreaComputer Science ; Linguistics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Linguistics ; Language & Linguistics
WOS IDWOS:000870753200022
Scopus ID2-s2.0-85133199056
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionFaculty of Arts and Humanities
INSTITUTE OF COLLABORATIVE INNOVATION
Corresponding AuthorWang, S.
Affiliation1.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 AffilicationFaculty of Arts and Humanities;  INSTITUTE OF COLLABORATIVE INNOVATION
Corresponding Author AffilicationFaculty 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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, S.]'s Articles
[Liu, X.]'s Articles
[Zhou, J.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, S.]'s Articles
[Liu, X.]'s Articles
[Zhou, J.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, S.]'s Articles
[Liu, X.]'s Articles
[Zhou, J.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.