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ISSN : 1226-4822(Print)
ISSN : (Online)
The Sociolinguistic Journal of Korea Vol.22 No.1 pp.225-253
DOI : https://doi.org/10.14353/sjk.2014.22.1.225

핵심어 분석을 통한 성별, 연령별 발화 특성 연구*
-세종 구어 말뭉치를 활용하여-

전 지 은
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.

Reference

  1. Journal Abbreviation : j. Korea Saf. Manag. Sci.
    Frequency : Published three times annually in April, August and December, including an international issue
    Doi Prefix : 10.14353/sjk.
    Year of Launching : 2013
    Publisher :
    The Sociolinguistic Society of Korea
    Indexed/Tracked/Covered By :

  2. Online Submission

    https://socioling.jams.or.kr

  3. The Sociolinguistic
    Society of Korea

  4. Editorial Office
    Contact Information

    - Tel: +82-10-4513-5639
    - E-mail: mibong78@hanmail.net