Models of the speech portrait and the lingvopsychological portrait of dramatic characters in A. P. Chekhov's play "Uncle Vanya"
Автор: Jiang Zhiyan
Журнал: Историческая и социально-образовательная мысль @hist-edu
Рубрика: Образование и педагогические науки
Статья в выпуске: 5-2 т.8, 2016 года.
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This article highlights the problem of the models of the speech portrait and portraying the dramatic characters by studying the lingvopsychological lexicon in terms of a lingvopsychology. In spite of the fact that today a large number of works on the speech portrait was published, poorly studied a problem of the speech portrait of the dramatic characters of Chekhov's play. Moreover, the researchers did not find an effective approach to the description and analysis of the speech portrait of the dramatic character of Chekhov's play. Thus, in our study, we have created firstly the model for the study of the speech portrait of Chekhov's play (based on the play "Uncle Vanya"), taking into account the linguistic culture and lingvopsychology. The lingvopsychological portrait consists of the lingvopsychological lexicons that reflect a mental state and a mental activity, in our opinion. Through the research object of a psychology we use the linguistic research methods, carrying out of a comparison analysis the semantie fields which form lingvopsychological lexicons in the mental state and the mental activity. In the psychosematic fields manifest the opposition of the semantic fields of the lingvopsychological lexicons by the mental state: about passive and active, about pessimism and the optimism. In addition, the estimated-semantic and moral-semantic field of a mental state can reveal the lingvopsychological portrait. Opposition of the semantic fields by the mental activity make up the lingvopsychological lexicons: love - hate, envy, like - bother.
Speech portrait, models, linguistic culture, chekhov''s characters, mental state, mental activity, opposition, communicative, lingvopsychologi-cal lexicons, lingvocognitive
Короткий адрес: https://sciup.org/14951400
IDR: 14951400 | DOI: 10.17748/2075-9908-2016-8-5/2-190-194