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Dataset of vocabulary in Uzbek primary education : extraction and analysis in case of the school corpusKhabibulla Madatov,
Sapura Sattarova,
Jernej Vičič, 2025, izvirni znanstveni članek
Opis: The main goal of this research work is to determine the number of new words that a primary school pupil should know/acquire during each academic year. To accomplish this, we have created two datasets. The first dataset was compiled based on the "Explanatory Vocabulary of the Uzbek Language" (EDUL). The second dataset was created from 35 primary school textbooks for grades 1-4 approved by the Ministry of Preschool and School Education of the Republic of Uzbekistan, and it was named the "Uzbek Primary School Corpus" (UPSC) by authors. Using the "Comparative Lemma Extraction Method" (CLEM) proposed by the authors of the article, a vocabulary for grades 1-4 was created, and the problem of determining the number of new words (disregarding word forms as Uzbek is a morphologically rich language) that primary school pupils should learn each academic year was solved.
Ključne besede: Uzbek language, primary school, corpus construction, natural language processing (NLP), comparative Lemma extraction method
Objavljeno v RUP: 08.08.2025; Ogledov: 876; Prenosov: 7
Celotno besedilo (342,87 KB)
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