DEVELOPMENT OF A SENTENCE DEPENDENCY PARSING ALGORITHM FOR THE UZBEK LANGUAGE

This article examines the problem of automatic syntactic analysis (parsing) of sentences in the Uzbek language. The primary focus is on creating an algorithm that accounts for the morphological specifics of agglutinative languages. A hybrid approach is proposed, combining grammatical rules with machine learning elements to determine syntactic relationships. The results demonstrate the model's effectiveness in processing both simple and complex sentences.