Publications
Talk · Communications in computer and information science · January 1, 2024
Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction
Fatima Аdilova, Давронов Рифкат Раxимович, Ruzmat Safarov, Nilufar Z. Abdurakhmonova, Samariddin Kushmurotov
Topic ModelingNatural Language Processing TechniquesSentiment Analysis and Opinion Miningnamed entity recognitionpunctuation predictionUzbek language
More by Nilufar Abdurakhmonova
- A model of a universal linguistic knowledge graph for Turkic languagesArctic XXI century · 2026
- Machine Learning-Based Topic Classification of Economic and Financial Texts in UzbekInternational Conference on Computer Science and Engineering · 2026
- Building a Phraseological Ontology of Uzbek Idioms and Evaluating Similarity Measures for Their Detection in TextInternational Conference on Computer Science and Engineering · 2026
- Developing Morphological and Syntactic Analysis Models for Karakalpak as a Low-Resource Turkic LanguageInternational Conference on Computer Science and Engineering · 2026