Semantic analysis of verbs in Russian media reports based on corpus theory – Case study of three types of incident reports in China
https://doi.org/10.24412/2686-9675-1-2023-53-72
Abstract
This article uses the method of corpus linguistic analysis to study the frequency and distribution of various message verbs in three types of news messages in China in modern Russian media, as well as to determine the semantic components and semantic models of highfrequency message verbs. in news reports. In the course of the analysis, identifying differences in their semantic characteristics of verbs, combining the functions of prediction in the text, the ways in which the media form and disseminate their opinion at the lexical level are analyzed.
Supporting agencies: This article is a major project of the Ministry of Education's Humanities and Social Sciences Key Research Base "Aplyian Linguistic Theory and Modern Chinese Semantic Syntax Research" (Project No.: 17JJD740005); Heilongjiang Philosophy and Social Science Research Planning Project "Russian Linguist Aply Phased results of the related dictionary interpretation category theory and Chinese dictionary interpretation modeling research (17YYE420).
About the Authors
Rou XiaoChina
Xiao Rou, master
Xia Li
China
Li Xia, master tutor, associate researcher
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Review
For citations:
Xiao R., Li X. Semantic analysis of verbs in Russian media reports based on corpus theory – Case study of three types of incident reports in China. Modern Oriental Studies. 2023;5(1):53-72. (In Russ.) https://doi.org/10.24412/2686-9675-1-2023-53-72
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