Dataset of Karakalpak language stop words

Author:

Madatov Khabibulla,Bekchanov Shukurla,Vičič JernejORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference20 articles.

1. Dataset of stopwords extracted from uzbek texts;Madatov;Data in Brief,2022

2. The effect of stemming and removal of stop words on the accuracy of sentiment analysis on Indonesian-language texts;Pradana;Game Technol. Inf. Syst. Comput. Netw. Comput. Electron. Control J.,2019

3. Extraction of trend keywords and stop words from thai facebook pages using character n-grams;Ousirimaneechai;Int. J. Mach. Learn. Comput.,2018

4. Stop word detection as a binary classification problem;Metin;Anadolu Univ. J. Sci. Technol. Appl. Sci. Eng.,2017

5. K. Madatov, S. Bekchanov, J. Vičič, Accuracy of the Uzbek stop words detection: a case study on “School corpus”, in: ALTNLP 2022, volume 3315, (2022), 107–115.

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2. Rule-Based Punctuation Algorithm for the Uzbek Language;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

3. Advancing Karakalpak Linguistics with Dictionary-Based Morphological Analysis: Implications for Text Correction Systems;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

4. Developing named entity recognition algorithms for Uzbek: Dataset insights and implementation;Data in Brief;2024-06

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