RULE-BASED SYNTACTIC ANALYSIS ALGORITHM FOR THE UZBEK LANGUAGE

Natural Language Processing (NLP) plays a crucial role in developing intelligent systems for linguistic analysis, machine translation, and text generation. Uzbek language is a member of the Turkic language family, poses unique challenges in syntactic analysis due to its agglutinative nature and free word order. This proposal presents a rule-based approach to syntactic analysis for the Uzbek language, focusing on identifying grammatical roles such as subject (ega), predicate (kesim), object (to‘ldiruvchi), and adverbial modifier (hol).

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15228110
Primary Topic
Text and Document Classification Technologies
Type
article
Field-Weighted Citation Impact
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article

RULE-BASED SYNTACTIC ANALYSIS ALGORITHM FOR THE UZBEK LANGUAGE

Zenodo (CERN European Organization for Nuclear Research)
Text and Document Classification Technologies
article

RULE-BASED SYNTACTIC ANALYSIS ALGORITHM FOR THE UZBEK LANGUAGE

article en

Abstract

Natural Language Processing (NLP) plays a crucial role in developing intelligent systems for linguistic analysis, machine translation, and text generation. Uzbek language is a member of the Turkic language family, poses unique challenges in syntactic analysis due to its agglutinative nature and free word order. This proposal presents a rule-based approach to syntactic analysis for the Uzbek language, focusing on identifying grammatical roles such as subject (ega), predicate (kesim), object (to‘ldiruvchi), and adverbial modifier (hol).

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 74%
Text and Document Classification Technologies
DOIOpen Access PDFOpenAlex
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RULE-BASED SYNTACTIC ANALYSIS ALGORITHM FOR THE UZBEK LANGUAGE · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS