Ilim ha’m ja’miyet Issue 3-1 (2026) · pp. 7-10
FORMAL METHODS FOR DETERMINING SEMANTIC SIMILARITY IN NATURAL LANGUAGE PROCESSING
Abdullayev, Elmurod Zaylobidinovich, Абдуллаев, Элмурод Зайлобидинович, Abdullayev, Elmurod Zaylobidinovich
Abstract
This paper examines formal methods for measuring semantic similarity in natural language processing. It discusses the concept of semantic similarity using mathematical and algorithmic models, such as vector-space, probabilistic, and graph-based approaches. Formal criteria for evaluating semantic similarity are proposed, and their links to generalization ability and computational features are scientifically supported. The findings offer a foundational framework for assessing and enhancing NLP algorithms.
tabiiy tilni qayta ishlashsemantik o‘xshashlikformal modelvektor fazosialgoritmik tahlilобработка естественного языкасемантическое сходствоформальные методывекторное представлениеалгоритмический анализ
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