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.
| Mualliflar | Sharipov, Maqsud, Zaynidinov, Hakimjon |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-03-23 |
| Son | 1 |
| Betlar | 195-201 |
| Til | Rus |
Узбекский язык, Синтаксические теги, Морфологические теги, Обработка естественного языка, Части речи, HMM модель, Uzbek language, syntactic tags, morphological tags, natural language processing, part of speech. HMM model., Uzbek language, Syntactic tags, Morphological tags, Natural language processing, Part of speech, HMM model, O‘zbek tili, Sintaktik teglar, Morfologik teglar, Tabiiy tilni qayta ishlash, Nutq qismlari, HMM modeli
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