Advancing natural language processing in uzbek: challenges and solutions
Advancing natural language processing in uzbek: challenges and solutions
Abstract
Abstract– Natural Language Processing (NLP) technologies have revolutionized various domains by
enabling machines to understand, interpret, and generate human language data. However, for languages
with limited digital resources and complex linguistic structures such as Uzbek, NLP faces unique
challenges. This paper delves into the specific challenges encountered in NLP for Uzbek, focusing on
lemmatization, stemming, sound recognition, and semantic analysis. The paper highlights the importance
of addressing these challenges for enhancing NLP capabilities in Uzbek and proposes strategies and
solutions to overcome them. By leveraging interdisciplinary collaborations, linguistic expertise, and
advanced computational techniques, this paper aims to contribute to the advancement of NLP
technologies tailored for Uzbek, ultimately fostering linguistic research, technological innovation, and
digital inclusion in Uzbek-speaking communities.
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