Dataset of Uzbek base words: extraction and data analysis based on the school corpus

The article presents a dataset of Uzbek base words extracted from a purposefully prepared corpus using the Synonym Thesaurus Support method. This method identifies base words for each school-grade by analysing a large text corpus comprising 142 textbooks intended for school education in Uzbekistan. The definition of the base word used in this article and in the proposed dataset is a word within a synonymic series that: - is the most widely used. - is distinguished by semantic clarity and stability. - has stylistic neutrality. Based on the proposed approach, school textbooks were analysed by dividing them into Primary (school grades 1 - 4), Basic Secondary (school grades 5 - 9), and Secondary (school grades 10 - 11) blocks. Base words that stand out from the general corpus were identified for each school-grade. This method extracted new base words not found in previous school grades and specific to the observed grade. The main idea of the method is to extract base words from the lemma set of each school-grade using a corpus of synonyms. This allows analysing the level of lexical complexity and class-specific vocabulary richness of texts intended for schoolchildren. The final results are lists of base words specifically extracted from primary (school-grades 1 - 4), basic secondary (school-grades 5 - 9), and secondary (school-grades 10 - 11) school texts; 17,599,48,203, and 20,491 base words, respectively. • This paper presents a study that constructed a vocabulary dataset of base words based on the Uzbek school corpus. • The study analyses the Base Word Extraction Using Thesaurus Support method with based on the School Corpus. • Findings reveal that while the total number of base words increases across grade levels, the number of newly introduced words decreases. • The results provide practical implications for Uzbek language learners, educators, and language technology applications in defining lexical minimums.

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