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ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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ANALYSIS OF LEXICAL-SEMANTIC VARIATIVE RELATIONS OF NOUNS IN ENGLISH SLANGS

Authors: Abdumannobova Zakhrokhon Sharibjon kizi;

ANALYSIS OF LEXICAL-SEMANTIC VARIATIVE RELATIONS OF NOUNS IN ENGLISH SLANGS

Abstract

This article analyzes the relationships between literary and slang lexical-semantic variants of nouns. It identifies 60 types of semantic shifts, showing that the most frequent model is the transformation from “non-human” in literary language to “human” in slang. These shifts act as evaluative and paradigmatic markers distinguishing slang from standard literary word-formation processes.

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
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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