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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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THE DISTINCTIVE FEATURES OF AN ENGLISH–UZBEK LEGISLATIVE TEXT CORPUS: A CORPUS-BASED LEGAL LINGUISTIC PERSPECTIVE

Authors: Mubin M. Rakhimov;

THE DISTINCTIVE FEATURES OF AN ENGLISH–UZBEK LEGISLATIVE TEXT CORPUS: A CORPUS-BASED LEGAL LINGUISTIC PERSPECTIVE

Abstract

Recent advances in corpus linguistics have considerably reshaped contemporary linguistic research by enabling scholars to investigate language through authentic and large-scale textual datasets. Within legal studies, corpus-based approaches have opened new avenues for examining legislative discourse, legal terminology, translation equivalence, and drafting conventions. This article explores the distinctive characteristics of an English–Uzbek legislative text corpus and evaluates its linguistic, legal, and technological value. Particular attention is paid to corpus architecture, data collection procedures, annotation practices, bilingual alignment techniques, and potential applications in comparative legal linguistics and legal translation. The study demonstrates that the English–Uzbek legislative corpus provides a reliable empirical basis for identifying lexical, grammatical, and semantic correspondences between the two languages, thereby supporting the development of legal language standardization and computational legal research.

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Keywords

corpus linguistics, legislative corpus, legal discourse, English language, Uzbek language, bilingual corpus, legal translation, corpus annotation

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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