THE CLASH OF AGGLUTINATIVE AND ANALYTIC LANGUAGES: CHALLENGES OF PROCESSING KARAKALPAK MORPHOLOGY IN ARTIFICIAL INTELLIGENCE SYSTEMS (A CASE STUDY OF ENGLISH)

Jangabayeva, Fazilat Dauletyarovna

Science time · 2026-yil

Annotatsiya

This study examines the challenges of processing Karakalpak morphology in artificial intelligence systems through a comparative analysis of Karakalpak and English languages. Karakalpak, as an agglutinative language, exhibits complex morphological structures characterized by extensive suffixation, rich inflectional patterns, and productive word formation processes. In contrast, English represents an analytic language in which grammatical relationships are expressed primarily through word order and auxiliary elements rather than morphological changes. These typological differences create significant difficulties for natural language processing applications, including morphological analysis, machine translation, speech recognition, information retrieval, and language modeling. The paper discusses the limitations of existing AI technologies when applied to low-resource agglutinative languages and highlights the need for specialized linguistic resources, annotated corpora, and morphology-aware computational models. The findings emphasize the importance of developing language-specific approaches to improve the accuracy and effectiveness of AI systems for Karakalpak and other agglutinative languages.

Maqola ma’lumotlari
MualliflarJangabayeva, Fazilat Dauletyarovna
JurnalScience time
Nashr sanasi2026-06-05
Jild4
Son6/1
Betlar72-80
TilIngliz
DOI10.66345/stj.6624

DOI: 10.66345/stj.6624 · Maqolaning asl sahifasi

Kalit so‘zlar

Karakalpak language, English language, agglutinative languages, analytic languages, artificial intelligence, natural language processing, morphology, machine translation, low-resource languages, computational linguistics.

Ilmiy soha

FilologiyaPedagogika

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