Научные статьиM.H.Sayidova, S.U.Pulatova2025
EVALUATING AI APPROACHES TO TRANSLATE UZBEK AND KARAKALPAK PAREMIAS INTO ENGLISH
Begjanova Djamila Arislanbayevna · Teshaboyeva Ziyodakhon Kodirovna
Академические исследования в современной науке · 2026
Аннотация
The translation of culturally dense units, such as paremioligical units present significant challenges for machine translation (MT) systems, especially when dealing with under-resourced languages like Uzbek and Karakalpak. Paremioligical units including proverbs, idiomatic expressions, and metaphorical phrases are deeply embedded in the cultural fabric of their source communities. Current AI-driven translation tools often struggle to capture the subtle cultural, historical, and contextual meanings inherent in these expressions. This article evaluates the effectiveness of contemporary MT approaches in rendering Uzbek and Karakalpak paremioligical units into English, highlighting their shortcomings and lead to culturally inadequacy or misleading outputs. Drawing on regionally sourced corpora and scholarly works, it also proposes a hybrid workflow that combines machine-driven efficiency with human cultural and linguistic expertise. By examining diverse strategies and methodologies. This study aims at contributing to the ongoing discourse on improving translation quality and cultural fidelity in the context of under- resourced languages. Keywords: Machine translation, paremioligical units, Uzbek, Karakalpak, hybrid workflows, cultural context, AI approaches.
Доказательный фрагмент
«The translation of culturally dense units, such as paremioligical units present significant challenges for machine translation (MT) systems, especially when dealing with under-resourced languages like Uzbek and Karaka…»
Образец извлечения
Демо-превьюThe translation of culturally dense units, such as paremioligical units present significant challenges for machine translation (MT) systems, especially when dealing with under-resourced languages like Uzbek and Karaka… Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
- Цитирований
- 0
- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Machine translation, paremioligical units, Uzbek, Karakalpak, AI approaches., hybrid workflows, cultural context
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