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Dataset of Karakalpak language stop words [Elektronski vir]Madatov, Khabibulla ; Bekchanov, Shukurla ; Vičič, JernejThe dataset presented in this paper aims to address the challenge of automatic extraction of stop words in Natural Language Processing (NLP) for the low-resource Karakalpak language spoken by ... approximately two million people in Uzbekistan. To accomplish this, we have created a corpus of 23 Karakalpak language school textbooks, which we have named the Karakalpak Language School Corpus (KAASC). Using the KAASC corpus, we have constructed lists of stop words using three methods based on Term Frequency-Inverse Document Frequency (TF-IDF): unigram, bigram, and collocation methods, respectively. The resulting lists of stop words, along with a list of URLs used to construct the corpus, make up the described dataset in this paper.Source: Data in brief [Elektronski vir]. - ISSN 2352-3409 (Vol. 48, art. 109111, 2023, str. 1-8)Type of material - e-article ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 151969027
Author
Madatov, Khabibulla |
Bekchanov, Shukurla |
Vičič, Jernej
Topics
bigram |
collocation |
karakalpak language |
machine learning |
machine learning |
stop words |
unigram |
bigram |
kolokacija |
jezik karakalpak |
strojno učenje |
stop besede |
unigram
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Madatov, Khabibulla | |
Bekchanov, Shukurla | |
Vičič, Jernej | 23555 |
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