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ACADEMIC KNOWLEDGE MODELING: SOME PROBLEMS OF TERMS SYSTEMATICITY DETERMINATION (ON THE EXAMPLE OF POLITICAL TERMINOLOGY)

Academic Knowledge Modeling: Some Problems of Terms Systematicity Determination
Authors: Maksim Nikolaevich Latu;

ACADEMIC KNOWLEDGE MODELING: SOME PROBLEMS OF TERMS SYSTEMATICITY DETERMINATION (ON THE EXAMPLE OF POLITICAL TERMINOLOGY)

Abstract

The article deals with some problems that may arise while modeling sublanguages of areas of scientific knowledge, and specifically politological terminology, and touches upon issues of correlation between notions and the nature of such relationship.

В статье рассматривается зависимость совместной встречаемости терминов и вербализаторов системных отношений от продуктивности последних для разных категорий понятий.

Политическая лингвистика, Issue № 5 (77), Pages 153-158

Related Organizations
Keywords

политический дискурс, психолингвистические исследования, политические словари, политический язык, политическая лингвистика, political language, семантические отношения, политические науки, политические тексты, дискурс-анализ, системные отношения, языковая репрезентация, вербализаторы, научные знания, политическая лексика, лексическая семантика, political terminology, лексикография, политическая терминология, словарные дефиниции, научный дискурс, терминосистемы, political linguistics, political terms, политические термины, психолингвистика, systemic relations

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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
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