Evidence map›Paper›PMID 36622559›Full record

ArticleBehavior research methods2024

A Chinese verb semantic feature dataset (CVFD).

Yaling Deng, Jiwen Li, Minglu Niu, Ye Wang, Wenlong Fu, Yanzhu Gong, Shuo Ding, Wenyi Li, Wei He, Lihong Cao

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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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10 authors.

Yaling Deng *State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.ORCID 0000-0003-2764-5645
Jiwen Li *State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Minglu NiuState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Ye WangState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China. yewang@cuc.edu.cn.
Wenlong FuState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Yanzhu GongState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Shuo DingState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Wenyi LiState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China.
Wei HeCollege of Humanities, Communication University of China, Beijing, 100024, China.
Lihong CaoState Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, 100024, China. lihong.cao@cuc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Language is an advanced cognitive function of humans, and verbs play a crucial role in language. To understand how the human brain represents verbs, it is critical to analyze what knowledge humans have about verbs. Thus, several verb feature datasets have been developed in different languages such as English, Spanish, and German. However, there is still a lack of a dataset of Chinese verbs. In this study, we developed a semantic feature dataset of 1140 Chinese Mandarin verbs (CVFD) with 11 dimensions including verb familiarity, agentive subject, patient, action effector, perceptual modality, instrumentality, emotional valence, action imageability, action complexity, action intensity, and the usage scenario of action. We calculated the semantic features of each verb and the correlation between dimensions. We also compared the difference between action, mental, and other verbs and gave some examples about how to use CVFD to classify verbs according to different dimensions. Finally, we discussed the potential applications of CVFD in the fields of neuroscience, psycholinguistics, cultural differences, and artificial intelligence. All the data can be found at https://osf.io/pv29z/ .

Indexed as

Artificial IntelligenceSemanticsChinaHumansLanguagePsycholinguisticsChinese verbsCVFDSemantic featuresVerb classification

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PMID36622559

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