Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Literature and Language Studies
Zulunov Ravshan,Ismailov Alisher Shakirovich
Information Technology Department Professor Fergana technical university,Department of Artificial Intelligence Tashkent state economy university
Languange, Linguistic, Communication & Media

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A RULE-BASED MORPHOLOGICAL ENGINE FOR UZBEK LANGUAGE Zulunov Ravshan,Ismailov Alisher Shakirovich
International Journal of Literature and Language Studies Vol. 5 No. 6 (2026): International Journal of Literature and Language Studies
Publisher : International Journal of Literature and Language Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Current computational processing of Uzbek language is delayed by the limitations of "black-box" statistical architectures in handling high-density agglutinative morphology. While neural models excel in analytic languages, they face a definitive "Out-of-Vocabulary (OOV) glass ceiling" when confronted with the generative capacity of Uzbek suffixation. This paper introduces a high-precision, rule-based morphological analyzer built upon Uzbek-Lex, a gold-standard lexicon of 83,646 entries mapped to Universal Dependencies (UD) v2 standards. Our system explicitly models linguistic "stress points," including 7,370 verbal nouns and 777 multi-category roots, utilizing deterministic syntactic constraints for disambiguation. Empirical benchmarking against the Stanza Uzbek model demonstrates a reduction in the OOV rate from 15.0% to 5.8%. These results suggest that for morphologically rich, low-resource languages, deterministic linguistic verification is a scientific necessity for high-fidelity dependency parsing.
Co-Authors