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Концепт „Огонь” в философии „Живой Этики”: лексико-тематическая категоризация

100%
Fedorushkov Y.
Studia Rossica Posnaniensia
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2015
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vol. 40
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issue 1
105-124
RU
This paper focuses on describing possible directions of research on so-called superior expressions in the field of cognitive semantics. It presents an analysis of the concept of fire, which is examined in the theosophical texts of “Living Ethics”. The aim of the paper is to prove that the lexicographical understanding of ‘fire’ (in certain Russian dictionaries) is not the same as the philosophical understanding of this concept (“Living Ethics”) since as far as the latter is concerned, the concept of fire rather refers to the domain of thought and the noosphere (in terms of Neo-Platonism) rather than to a physical phenomenon. This fact is confirmed by analyzing lexical-thematic categories that are specific to selected models of collocation, in which one of the parts contains the stem огон- (огн-).
2
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Analiza semantyczna pojęcia „Красота” (na podstawie tekstów „Żywej Etyki”)

100%
Fedorushkov Y.
Scripta Neophilologica Posnaniensia
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2012
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issue 12
209-228
PL
Analiza semantyczna pojęcia „Красота” (na podstawie tekstów „Żywej Etyki”)
3
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Zwroty czasownikowo-rzeczownikowe o tematyce futbolowej w słowniku rosyjsko-polskim/polsko-rosyjskim

100%
Fedorushkov Y.
Studia Rossica Posnaniensia
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2018
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issue 43
45-62
RU
A football lexicon contains a lot of unregistered phrasemes. The text of the article is devoted to the input method of verbal-nominative phrases from the text corpora into the bilingual (Russian-Polish / Polish-Russian) pocket dictionary of soccer.
4
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Automatyzacja wizualizacji grafowej synonimów dla potrzeb dydaktyki języków obcych (na przykładzie przymiotników rosyjskich z prefiksem „без-”/„бес-”)

63%
Dzienisiewicz D., Fedorushkov Y.
Kultury Wschodniosłowiańskie - Oblicza i Dialog
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2014
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issue 4
33-48
EN
The article presents methods for application of lexicographic data for the purposes of foreign language teaching and linguistic studies. The automated graph visualization technique is introduced. Both the retrieval and the visualization of linguistic data in form of directed graphs have been conducted with the use of available computer software. The material on which the above-mentioned operations have been performed comprises the group of Russian adjectives with без- / бес- prefixes and the synonymic chains initiated by them. The automated extraction with the use of regular expressions, the steps leading to the edition of the generated database and the import of the final data base into a visualization software are described in the article. The grammatical and semantic characteristics of the sample group of lexemes are not the focus of this article, although further analysis of the selected vocabulary units is planned to be conducted in future studies.
PL
The article presents methods for application of lexicographic data for the purposes of foreign language teaching and linguistic studies. The automated graph visualization technique is introduced. Both the retrieval and the visualization of linguistic data in form of directed graphs have been conducted with the use of available computer software. The material on which the above-mentioned operations have been performed comprises the group of Russian adjectives with без- / бес- prefixes and the synonymic chains initiated by them. The automated extraction with the use of regular expressions, the steps leading to the edition of the generated database and the import of the final data base into a visualization software are described in the article. The grammatical and semantic characteristics of the sample group of lexemes are not the focus of this article, although further analysis of the selected vocabulary units is planned to be conducted in future studies.
5
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Metoda wyodrębniania odtwarzalnych konstrukcji werbo-nominalnych języka rosyjskiego z korpusów tekstowych

63%
Fedorushkov Y., Dzienisiewicz D.
Studia Rossica Posnaniensia
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2019
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vol. 44
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issue 2
379-394
PL
The article describes an extraction method of Russian verbal-nominative structures from electronic texts with the use of grammatical annotation and regular expressions syntax. The stages of the retrieval process are outlined. The list of extracted structures can be subsequently verified for the presence of reproducible units (phrasems).
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