Natural Language Processing: comparing rule-based and stochastic part-of-speech tagging methods in the Uzbek language.  

Authors: Sardorbek Turdimurodov

DOI: https://doi.org/10.37082/IJIRMPS.v13.i5.232765

Short DOI: https://doi.org/g98pk5

Country: Uzbekistan

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Abstract: This paper explores different approaches to Part-of-Speech (POS) tagging and their application to the Uzbek language. Although NLP progress has improved tagging in high-resource languages, Uzbek still lacks annotated corpora. This study compares rule-based and stochastic approaches and suggests ways to improve tagging accuracy for low-resource languages.

Keywords: POS tagging, Uzbek, Natural language processing, Stochastic

Paper Id: 232765

Published On: 2025-10-25

Published In: Volume 13, Issue 5, September-October 2025

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