UZBEK TAGSET: CREATING A LIST OF MORPHOLOGICAL AND SYNTACTIC TAGS FOR BUILDING MACHINE LEARNING MODELS FOR THE UZBEK LANGUAGE
Keywords:
Uzbek language, syntactic tags, morphological tags, natural language processing, part of speech. HMM model.Abstract
The aim of this study is to develop a comprehensive list of syntactic and morphological tags in Uzbek, which aims to create a dataset for natural language processing (NLP) problems in Uzbek. Based on existing tagset models for other languages and taking into account the specific features of the Uzbek language, we propose a hierarchical tagset structure that includes word classes, morphological features, and syntactic functions. A Hidden Markov Model (HMM) was built to solve the POS tagging NLP task using the created tagset.
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Copyright (c) 2025 Maqsud Sharipov, Hakimjon Zaynidinov
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