Semantic Differentiation of Uzbek Homonyms Using the Lesk Algorithm
Elov Botir BoltayevichTashkent State University of Uzbek Language and Literature named after Alisher Navo'i,Dept. of Computational Linguistics and Digital Technologies,Tashkent,UzbekistanAxmedova Xolisxon IlxomovnaTashkent State University of Uzbek Language and Literature named after Alisher Navo'i,Dept. of Computational Linguistics and Digital Technologies,Tashkent,UzbekistanPrimova Mastura Hakim qiziTashkent State University of Uzbek Language and Literature named after Alisher Navo'i,Dept. of Computational Linguistics and Digital Technologies,Tashkent,UzbekistanKhudayberganov Nizomaddin Uktambay o’g’liTashkent State University of Uzbek Language and Literature named after Alisher Navo'i,Dept. of Computational Linguistics and Digital Technologies,Tashkent,Uzbekistan
2023en
ABI
Abstract
The development of a semantic analyzer of natural language is considered one of the factors that develop the language. Homonymy is one of the main elements of semantic analysis. Different methods can be used for semantic analysis of homonyms. Homonyms can also be determined using Lesk's algorithm. Lesk's algorithm is based on WordNet of natural language. The weight of the compounds of the homonymous word in the sentence entered through WordNet is determined. The meaning of the word homonym was determined according to the compounds with high weight.
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