This article explores the application of machine learning algorithms for the automatic analysis of the Karakalpak language. It describes the processes of automated analysis, including morphology, syntax, and semantics, and examines the technical capabilities of the algorithms. The creation and analysis of language corpora using Python programming and its libraries are highlighted.
| Mualliflar | Abdalieva, G.R., Uteuliev, N.U., Kalmuratov, B.K. |
|---|---|
| Jurnal | Ilim ha’m ja’miyet |
| Nashr sanasi | 2025-02-14 |
| Son | 1-1 |
| Betlar | 3-4 |
| Til | kaa |
qoraqalpoq tili, avtomatik analiz, mashinali o‘qitish, tabiiy tilni qayta ishlash, morfologik tahlil, sintaktik tahlil, semantik tahlil, lemmatizatsiya, tokenizatsiya, texnologik rivojlanish, til korpusi, Python dasturlash, NLTK, scikit-learn, tasniflash algoritmlari, til resurslari, каракалпакский язык, автоматический анализ, машинное обучение, обработка естественного языка, морфологический анализ, синтаксический анализ, семантический анализ, лемматизация, токенизация, технологическое развитие, корпус языка, программирование на Python, NLTK, scikit-learn, алгоритмы классификации, языковые ресурсы, karakalpak language, automatic analysis, machine learning, natural language processing, morphological analysis, syntactic analysis, semantic analysis, lemmatization, tokenization, technological development, language corpus, Python programming, NLTK, scikit-learn, classification algorithms, language resources
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