Rule-based Syntactic Analysis Algorithm for the Uzbek Language
Year: 2025
Type: article
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).
Author: Ismailov Alisher Shakirovich
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893332330
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