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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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STRUCTURAL AND SEMANTIC ANALYSIS OF AFFIXATION PROCESSES IN THE UZBEK LANGUAGE

Authors: Yuldasheva, Dilnoza;

STRUCTURAL AND SEMANTIC ANALYSIS OF AFFIXATION PROCESSES IN THE UZBEK LANGUAGE

Abstract

This article investigates the structural and semantic aspects of affixation processes in the Uzbek language. The study focuses on how prefixes, suffixes, and derivational morphemes contribute to word formation and meaning modification. A detailed structural analysis examines the internal composition of derived words, while the semantic analysis highlights the ways affixes affect word meaning, grammatical category, and stylistic usage. The research also compares nominal, verbal, and adjectival derivational patterns, demonstrating regularities and exceptions in Uzbek affixation. The findings aim to provide a systematic understanding of morphological processes, supporting both linguistic theory and practical applications in language teaching and lexicography.

Keywords

affixation, derivational morphology, morpheme, structure, semantics, word formation, Uzbek language, suffix, prefix, derivation.

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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