Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo
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'�...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000812 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825199398307495936 |
|---|---|
| author | Khabibulla Madatov Sapura Sattarova Jernej Vičič |
| author_facet | Khabibulla Madatov Sapura Sattarova Jernej Vičič |
| author_sort | Khabibulla Madatov |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-21969985162946f0b84cc39c675d5c2b |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-21969985162946f0b84cc39c675d5c2b2025-02-08T05:00:35ZengElsevierData in Brief2352-34092025-04-0159111349Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodoKhabibulla Madatov0Sapura Sattarova1Jernej Vičič2Urgench State University, 14, Kh. Alimdjan str, Urgench city, 220100, UzbekistanUrgench State University, 14, Kh. Alimdjan str, Urgench city, 220100, UzbekistanUniversity of Primorska, FAMNIT, Glagoljaska 8, 6000 Koper, Slovenia; Research Centre of the Slovenian Academy of Sciences and Arts, The Fran Ramovš Institute, Novi trg 2, 1000 Ljubljana, Slovenija; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2352340925000812LemmaUzbek languagePrimary schoolCorpus constructionNatural language Processing (NLP)Comparative lemma extraction method |
| spellingShingle | Khabibulla Madatov Sapura Sattarova Jernej Vičič Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo Data in Brief Lemma Uzbek language Primary school Corpus construction Natural language Processing (NLP) Comparative lemma extraction method |
| title | Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo |
| title_full | Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo |
| title_fullStr | Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo |
| title_full_unstemmed | Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo |
| title_short | Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpusZenodo |
| title_sort | dataset of vocabulary in uzbek primary education extraction and analysis in case of the school corpuszenodo |
| topic | Lemma Uzbek language Primary school Corpus construction Natural language Processing (NLP) Comparative lemma extraction method |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000812 |
| work_keys_str_mv | AT khabibullamadatov datasetofvocabularyinuzbekprimaryeducationextractionandanalysisincaseoftheschoolcorpuszenodo AT sapurasattarova datasetofvocabularyinuzbekprimaryeducationextractionandanalysisincaseoftheschoolcorpuszenodo AT jernejvicic datasetofvocabularyinuzbekprimaryeducationextractionandanalysisincaseoftheschoolcorpuszenodo |