Abstract
Semantic feature is an important dimension of lexical semantics, which has long been a concern of linguistics, psychology and cognitive neuroscience. Based on the connectionism theory, this research combines statistical analysis of corpus with cognitive analysis, takes the speech act verb 谈tan2 ‘talk’ as an example, constructs the lexical knowledge system and analyzes the collocation knowledge system and syntactic framework information. On this basis, from the perspective of psychological cognition of language use, the semantic feature knowledge system of 谈tan2 ‘talk’ is constructed, suggesting new ideas for the study of the semantic features of speech act verbs.
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Notes
- 1.
Z-score is a process of dividing the difference between the number and the mean by the standard deviation, and the calculation formula is: Z = (X-\(\overline{\mathrm{X}}\))/s.
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Acknowledgments
We thank the anonymous reviewers for their constructive comments, and gratefully acknowledge of the support of the Humanities and Social Sciences Research Planning Project by the Ministry of Education (No. 20YJAZH110), the Western and Frontier Region Project of the Humanities and Social Science Research Youth Fund of the Ministry of Education (No. 19XJC740002), and Wutong Innovation Platform Project of Beijing Language and Culture University (Special Fund for Basic Research Fees of Central Universities) (No. 19PT01).
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Zhang, L., Xing, H. (2022). A Study on Lexical Knowledge and Semantic Features of Speech Act Verbs Based on Language Facts. In: Dong, M., Gu, Y., Hong, JF. (eds) Chinese Lexical Semantics. CLSW 2021. Lecture Notes in Computer Science(), vol 13249. Springer, Cham. https://doi.org/10.1007/978-3-031-06703-7_14
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