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Consistency of Term star

A Statistical Analysis of the Productive Types of System Relations with Related Terminological Units

Bibliographic Data

ID22039243
AuthorsM N Latu (0000-0002-6313-5637, Pyatigorsk State University), A A Levit (Federal State Budgetary Educational Institution of Higher Education “Pyatigorsk State University”), Alexander Levit (0000-0003-2921-4339, Pyatigorsk State University)
Year2020
Issue4
Pages87-99
Publication date2020-04-30
Open AccessYes
TypeARTICLE
VenueNauchnyi Dialog (JOURNAL)
Journal identifiersISSN: 2225-756X • E-ISSN: 2227-1295
PublisherOOO Centr naucnyh i obrazovatelnyh proektov (PUBLISHER)
DOI10.24224/2227-1295-2020-4-87-99
OpenAlexW3037584097
LanguageEN
References cited1

The article is devoted to the study of the term as a system unit in its interconnections with contiguous linguistic facts on the example of semantic relations existing in the term star in the field of scientific knowledge “astrophysics”. The study is based on an analysis of the systemic correlation of units in the field of astrophysics. The authors focus on terms representing various categories of concepts in accordance with the nature of the referents they represent. The most and least productive semantic relations are established and analyzed with related first-order terms presented in the definition and second-order terms, the relations with which are represented in the texts of scientific publications outside of the definitions. The categorical pertaining of related terms with which the term star has a systemic relationship is also determined in the study. Using a statistical analysis of a selection of terms in the field of “astrophysics”, we found that the most productive semantic relationships for them are relationships such as generic, attribution, and “part-whole”

Attribution · Categorical variable · Linguistics · Physics · Pure mathematics · Computer Science · Discourse Analysis and Cultural Communication · Language, Communication, and Linguistic Studies · Lexicography and Language Studies · Mathematics · Philosophy · Psychology · Social Psychology · Artificial Intelligence

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    Open Access•M N Latu, Maxim Latu et al.•Rupkatha Journal on Interdisciplina…•2017

Highly citedNo

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