Estimation of regiolect speech and its speakers depending on social parameters

Author:

Erofeeva Elena V., ,Khudyakova Ekaterina S.,Glazanova Evgeniya V., ,

Abstract

The paper considers estimation of regiolect speech in accordance with metalinguistic characteristics, as well as estimation of the speakers by their speech depending on the place of residence of the speakers and the estimating experts, and on other social parameters. The study includes fragments of interviews with residents of Solikamsk and Kungur (two towns within the same region); the sample of the speakers is balanced by the factors “city of residence”, “gender”, “age”, and “education”. The respondents — residents of Solikamsk, Kungur, Perm and St Petersburg — estimated the speech according to six metalinguistic scales, and the speakers according to six social parameters. The results of the experiment showed that the boundaries of in- and outgroups are drawn differently depending on the scales used (a town vs a city or the same region vs a different region). Identification of social characteristics of the speaker by their speech demonstrates the following patterns: gender is identified accurately and predetermines the use of strong and uniform stereotypes; age is identified by the speech characteristics; education level is not significant according to our material. The connection between stereotypical representations of speech and the speaker under normal conditions is revealed. In regions or towns with a stable regional norm, speech social stereotypes based on this norm are developed. If the speech of a region or a town is a mixture of different language systems and the local norm is unstable, the formation of speech social stereotypes is complicated.

Publisher

Saint Petersburg State University

Subject

Literature and Literary Theory,Linguistics and Language,Language and Linguistics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3