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https://dx.doi.org/10.18454/ru...
Article . 2020
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LINGUISTIC SYNAESTHESIA: A CASE STUDY OF RUSSIAN AND ITALIAN ADJECTIVES

ЯВЛЕНИЕ ЯЗЫКОВОЙ СИНЕСТЕЗИИ НА ПРИМЕРЕ ПРИЛАГАТЕЛЬНЫХ РУССКОГО И ИТАЛЬЯНСКОГО ЯЗЫКОВ
Authors: Blinnikov, G.B.; Mitina, O.V.;

LINGUISTIC SYNAESTHESIA: A CASE STUDY OF RUSSIAN AND ITALIAN ADJECTIVES

Abstract

В статье рассматривается проблема языковой синестезии. Синестетические переходы между разными областями сенсорного опыта анализируются с помощью методов корпусной лингвистики. Изучается способность прилагательных, обозначающих сенсорные качества, продуцировать метафорические значения при сочетании с существительными из других сенсорных модальностей. В данной работе ставится цель выявить структуру синестетических переходов на материале итальянских и русских сенсорных прилагательных и верифицировать ранее предложенные модели. Для анализа используются количественные данные о частоте сочетаний прилагательных и существительных из текстовых корпусов обоих языков, а также метод факторного анализа. Предлагается новая классификация синестетических переходов между семантическими полями, репрезентирующими сенсорные качества.

The paper tackles the problem of linguistic synaesthesia, or synaesthetic transfers between different zones of sensory experience. It employs corpus linguistics methods to analyze the ability of sensory adjectives to produce meanings in other sensory modalities. This research targets the Russian and Italian languages testing the models suggested previously and comparing the results for each language. More precise corpus linguistics methods and factor analysis are employed. In addition, this article suggests a new synaesthetic transfer classification.

Russian Linguistic Bulletin, Выпуск 4 (24) 2020, Pages 97-104

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Keywords

corpus linguistics, синестезия, русский язык, прилагательные, корпусная лингвистика, Russian language, metaphors, adjectives, synaesthesia, sensory qualities, итальянский язык, метафоры, Italian language, сенсорные качества

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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