Publications
Talk · International Conference on Computer Science and Engineering · October 26, 2024
Preserving Semantic Integrity in Paraphrasing Texts: Rule-Based Paraphrasing
Zarnigor M. Khayatova, Nodirbek Jurakuziyev, Kholova Muyassar
Abstract
Paraphrasing, or rephrasing material in other terms while holding the original meaning, is a complex task that requires a deep understanding of the semantics of the language. The Uzbek language is especially demanding language because of its unique grammatical characteristics. This study examines the accuracy of rule-based paraphrasing algorithms in preserving semantic coherence when dealing with Uzbek texts. The emphasis is on how these algorithms handle the lexical and syntactic transformations required for accurate and contextually appropriate rephrasing of Uzbek literature.
Natural Language Processing TechniquesTopic ModelingText Readability and Simplificationparaphrasesemantic coherenceUzbek language
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- Functional-Semantic, Cognitive, and National-Cultural Representation of the Lexicon Denoting Human Psychological States and Its Computational-Linguistic ModelingInternational Conference on Computer Science and Engineering · 2026
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- Modeling Uzbek Paraphrase Structures through Travel Discourse AnalysisInternational Conference on Computer Science and Engineering · 2025 · Citations: 1
- Paraphrasing of Mythological Discourse in Uzbek: Toward Style-Aware and Symbol-Sensitive NLP ModelsInternational Conference on Computer Science and Engineering · 2025 · Citations: 1