핵심어 분석을 통한 성별, 연령별 발화 특성 연구^*
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연세대학교

A Study on Key Words Analysis according to Social Variables of Gender and Age using Sejong Korean Spoken corpus.

Ji-eun Jeon

Abstract

This study shows how a key words andkey clusters analysis offers an empirical data of the significant characteristicsin social variables of gender and age based on Sejong spoken corpus. “Key words”is a term for statistically significant lexical items which are most frequent ina given corpus compared with other corpus as a reference (Scott 1999). Wealso extend the keyness concept to word combinations, clusters which are foundrepeatedly together in each others' company, in sequence. We use the KeyWordsfacility in WordSmith tools (Scott 2012) which has been used in several studiesas means for describing the characteristics of social variables. We extract (1)the male and female key words/key clusters in public and private speech, (2)the 20s and over 30s key words/key clusters in public and private speech.Therefore, we found that these empirical investigations verify the lexical saliencyof utterance by gender and age. The gender key words show more prominentfeatures than age key words. Moreover, The key words analysis is more efficientthan key clusters analysis in sociolinguistic studies. This study is illustrative ofthe potentiality of the corpus-based research on social differentiation in the useof language.

Key Words : social variables,gender,age,key words,key clusters,Sejong Spoken Corpus,WordSmith Tools

: 0072-01-0022-0001-10.pdf749.8KB

Reference

Vol. 40 No. 4 (2022.12)

Journal Abbreviation j. Korea Saf. Manag. Sci.
Frequency Published four times annually in March, June, September, and December
Doi Prefix 10.14353/sjk.
Year of Launching 1993
Publisher The Sociolinguistic Society of Korea

Indexed/Tracked/Covered By