Formal methods for determining semantic similarity in natural language processing

Abdullayev, Elmurod Zaylobidinovich, Абдуллаев, Элмурод Зайлобидинович, Abdullayev, Elmurod Zaylobidinovich

Ilim ha’m ja’miyet · 2026-yil

Annotatsiya

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.

Maqolaning asl sahifasi

Kalit so‘zlar

tabiiy tilni qayta ishlash, semantik o‘xshashlik, formal model, vektor fazosi, algoritmik tahlil, обработка естественного языка, семантическое сходство, формальные методы, векторное представление, алгоритмический анализ, natural language processing, semantic similarity, formal methods, vector space model, algorithmic analysis

Iqtibos keltirish

@article{abdullayevelmurodzaylobidinovich2026,
  title = {FORMAL METHODS FOR DETERMINING SEMANTIC SIMILARITY IN NATURAL LANGUAGE PROCESSING},
  author = {Abdullayev, Elmurod Zaylobidinovich and Абдуллаев, Элмурод Зайлобидинович and Abdullayev, Elmurod Zaylobidinovich},
  journal = {Ilim ha’m ja’miyet},
  year = {2026},
  number = {3-1},
  pages = {7-10},
  url = {https://journal.ndpi.uz/index/article/view/2026-3-1-002}
}

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