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СМЕЯТЬСЯ по-белорусски: контрастивный синтаксис белорусского глагола СМЯЯЦЦА

СМЕЯТЬСЯ по-белорусски: контрастивный синтаксис белорусского глагола СМЯЯЦЦА

Abstract

The publication compares the syntactic models formed by the Belarusian verbal predicate смяяцца, including archaisms and dialectisms. Thanks to the contrastive approach, syntactic specificity was revealed when comparing two sections of the Belarusian literary language – synchronous (beginning of the 20th century) and diachronic (beginning of the 21st century). The dialect material of Russian-Belarusian (Smolensk) transitional dialects is also included in the intralingual comparison. New types of Laughing Man have been identified

В публикации сопоставляются синтаксические модели, образованные белорусским глагольным предикатом смяяцца, включая архаизмы и диалектизмы. Благодаря контрастивному подходу выявлена синтаксическая специфика при сопоставлении двух срезов белорусского литературного языка – синхронного (начало XX в.) и диахронного (начало XXI в.). К внутриязыковому сопоставлению подключается и диалектный материал русско-белорусских (смоленских) переходных говоров. Выявлены новые типы Человека смеющегося

Раздел 1. Современная парадигма лингвистических исследований

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Keywords

ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Языкознание, ЭБ БГУ::ГРАМАДСКІЯ НАВУКІ::Мовазнаўства

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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
Average
Green