FORMATION OF THE LINGUISTIC BASE OF THE PARSING PROGRAM OF THE ELECTRONIC CORPUS OF THE UZBEK LANGUAGE THEORETICAL AND PRACTICAL FOUNDATIONS

The article analyzes the development of a syntactic analysis (parsing) program for the electronic corpus of the Uzbek language and the formation of its linguistic base. The agglutinative properties of the Uzbek language, the system of affixes and the linguistic problems that arise in the process of parsing are studied. Also, the interdependence of the stages of text tokenization, morphological analysis and automatic tagging (POS-tagging) is revealed. The results of the research have an important practical value in the integration of the Uzbek language into the digital environment, improving machine translation and natural language processing (NLP) systems.

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Publication Details

Journal
HSR (London)
Published
2026-10-14
DOI
https://doi.org/10.5281/zenodo.23369697
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

FORMATION OF THE LINGUISTIC BASE OF THE PARSING PROGRAM OF THE ELECTRONIC CORPUS OF THE UZBEK LANGUAGE THEORETICAL AND PRACTICAL FOUNDATIONS

Worldly Knowledge Publishing Centre, Choriyeva Hilola Murodovna
HSR (London)
Natural Language Processing Techniques
article

FORMATION OF THE LINGUISTIC BASE OF THE PARSING PROGRAM OF THE ELECTRONIC CORPUS OF THE UZBEK LANGUAGE THEORETICAL AND PRACTICAL FOUNDATIONS

Worldly Knowledge Publishing Centre, Choriyeva Hilola Murodovna
article en

Abstract

The article analyzes the development of a syntactic analysis (parsing) program for the electronic corpus of the Uzbek language and the formation of its linguistic base. The agglutinative properties of the Uzbek language, the system of affixes and the linguistic problems that arise in the process of parsing are studied. Also, the interdependence of the stages of text tokenization, morphological analysis and automatic tagging (POS-tagging) is revealed. The results of the research have an important practical value in the integration of the Uzbek language into the digital environment, improving machine translation and natural language processing (NLP) systems.

HSR (London)
Tashkent State University of Oriental Studies (UZ)
Openalex Percentile: Top 13%
Natural Language Processing Techniques
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