Key words: agglutinative morphology, digital linguistics, natural language processing, comparative linguistics, morphological analysis, dialectal variation
Summary
The study of artificial intelligence impact on agglutinative linguistic structures represents one of the priority directions in modern digital linguistics. This research analyzes the difficulties created by morphological features of Azerbaijani language in natural language processing (NLP) systems using comparative linguistic methodology. Compared to the isolative English language, the affixal richness, dialectal variation, and phonetic complexity of agglutinative Azerbaijani require specific adaptation in artificial intelligence algorithms. The research findings indicate that existing NLP systems cannot fully encompass the morphological depth of agglutinative languages, necessitating new linguistic approaches in this field.
