Abstract
The analysis of the semantic changes of Korean verbs is an important part of Korean culture research. It is helpful for Korean researchers to analyze the historical evolution of Korean language and to deduce the teaching, learning, and dissemination of Korean language by strengthening the analysis of the semantic changes of Korean verbs. On the difficulty of extracting and analyzing the semantic variation characteristics of Korean verbs, firstly, this paper is based on database technology, big data mining, big data analysis, online analytical processing technology, and verb feature analysis technology. Secondly, taking the semantic change characteristics of Korean verbs as the object of study. What’s more, the system frame design of Korean verb semantic change feature analysis system based on massive culture corpus data is established. Finally, it is shown that the designed feature analysis system has a good application effect through the analysis of the relevant use cases and user feedback information of the system in this year.
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