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Article . 2025
License: CC BY
Data sources: Datacite
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Article . 2025
License: CC BY
Data sources: Datacite
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WORD ORDER PATTERNS IN ENGLISH AND UZBEK SENTENCES

Authors: Choriyeva, Baxora; Nishonova, Sayyora;

WORD ORDER PATTERNS IN ENGLISH AND UZBEK SENTENCES

Abstract

Word order is a fundamental component of syntax and sentence structure that reflects a language’s typological characteristics. English and Uzbek exhibit markedly different word order patterns, with English primarily following a Subject–Verb–Object (SVO) structure, whereas Uzbek employs a Subject–Object–Verb (SOV) typology. Understanding these patterns is critical for language acquisition, translation, and cross-linguistic comparison. This paper examines the syntactic characteristics of English and Uzbek sentences, analyzes the differences and similarities in their word order, and discusses the implications for language teaching and computational linguistics. The study draws on both theoretical frameworks in generative grammar and functional approaches, supplemented with practical examples.

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Keywords

word order, syntax, English, Uzbek, SVO, SOV, sentence structure, language typology

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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