AUTOMATIC AI-BASED ANALYSIS OF CODE-SWITCHING AND CODE-MIXING INVOLVING ENGLISH
Keywords:
Uzbek-English code-switching; code-mixing; bilingualism; Artificial Intelligence (AI); Natural Language Processing (NLP); morphological adaptation; sociolinguistics; annotated corpora; machine translation.Abstract
This article examines the growing phenomenon of Uzbek–English code-switching and code-mixing in digital, educational, and social contexts in Uzbekistan. It highlights how globalization, technological expansion, and increasing English usage have accelerated bilingual communication among young speakers. The study emphasizes the role of Artificial Intelligence and Natural Language Processing in analyzing linguistic boundaries, morphological integration, and pragmatic functions in mixed-language discourse. Particular attention is given to the challenges posed by the agglutinative structure of Uzbek and the limited availability of annotated corpora. The article also reviews how modern AI models process code-mixed inputs and the extent to which they capture sociolinguistic motivations behind language alternation.
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