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PROCESSING OF COMPLIMENTS IN RUSSIAN: PSYCHOLINGUISTIC STUDY

T.E. Petrova

First published: 2017https://doi.org/10.5593/SGEMSOCIAL2017/HB31/S10.024View metrics

Abstract

The communicative approach in teaching languages presuppose studying the forms of speech etiquette, rules of behavior in everyday life and rules of communication with people of different social groups. Knowledge of the ways to express different illocutionary acts and the ability to use these means is a key to successful communication. The "compliment" is one of the most important categories in the theory of speech acts. The purpose of this study was to describe an illocutionary act "compliment" on Russian language material by using a method of graded standard. On the first phase of the study the informants were given a task to write down all forms of compliments they found typical for Russian. 1772 compliments were revealed from their questionnaires. We also analyzed 102 compliments found in the textbooks. The objective of this phase was to select the most frequent means of expressing compliments for further analysis. In the second phase of the study, the objective was to discover the results of a direct ranking of compliments. A joint list encompassing 47 most typical compliments was assembled for this purpose, which created a В‘graded standardВ’ (Shabes, 1989). The results of the study indicate that gender, age, degree of acquaintanceship are relevant parameters for the content of a compliment. These parameters are strongly intercorrelated. Studies of illocutionary acts (e.g. compliments) have the potential to build cross-national understanding of concepts, particularly when applied in educational settings.

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Publication details

Title
PROCESSING OF COMPLIMENTS IN RUSSIAN: PSYCHOLINGUISTIC STUDY
Authors
T.E. Petrova
Proceedings
References: 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017, www.sgemvienna.org, SGEM2017 Conference Proceedings, ISBN 978-619-7105-95-7 / ISSN 2367-5659, March 28-31, Book3, Vol.1, 183-188 pp, DOI:10.5593/SGE
Publisher
STEF92 Technology
Year
2017
Pages
183-188
SWS Citekey
Petrova201710183188
ISSN
2367-5659
ISBN
978-619-7105-95-7
Language
en
Publication type
Proceedings Paper
Keywords
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