MATHEMATICAL MODELS DETERMINING HOMONY BETWEEN DIFFERENT WORD GROUPS
22.10.2022
International Scientific Journal "Science and Innovation". Series B. Volume 1 Issue 7
Abstract. This article discusses the issue of semantic analysis of homonymous words in Uzbek language. Mathematical models and algorithms have been developed by dividing homonymous words into homonymous groups between a single word group and various word groups. A hierarchy of homonyms belonging to different categories of words is formed. The article presents methods for identifying homonyms belonging to such word groups as adverb ˅ verb, noun ˅ adverb, adjective ˅ numeral, noun ˅ numeral, noun ˅ numeral ˅ verb.
Keywords: mathematical model, imitation word, noun, verb, adverb, numeral, homonym, sequence, set, finite set, semantic analyzer.
References:
1. Гулямова Ш.Қ., Ахмедова Х.И. Ўзбек тили семантик анализатори учун омоним сўзларлaр мaълумотлaр бaзaсини шaкллaнтириш мaсaлaси хусусидa// Сўз санъати халқаро журнали. 4-жилд, 3-сон. – Тошкент, 2021.– Б. 326-334. – Doi 10.26739/2181-9297
2. Гулямова Ш.К. Семантик анализатор учун омонимликни фарқлаш омилларининг айрим масалалари хусусида // “Ўзбекистоннинг умидли ёшлари” мавзусидаги 6-сон Республика илмий талабалар, магистрлар ёш тадқиқотчилар ва мустақил изланувчилар учун онлайн конференциясининг материаллари тўплами. – Тошкент: Tadqiqot, 2021. – Б. 74-76.
3. Axmedova X.I. Mathematical models that distinguish homonymy in the framework of a word series. Electronic journal of actual problems of modern science, EDUCATION AND TRAINING OCTOBER, 2021-10/1. ISSN 2181-9750
4. Krzysztof K. Формальные и семантические сближения в сфере русско-польской межъязыковой омонимии. Studia Rossica Posnaniensia, (2021), 46(1). DOI:10.14746/strp.2021.46.1.8
5. Andrey K. Ilona K. Clustering of word contexts as a method of eliminating polysemy of words. Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019 (2019). DOI: 10.1109/EIConRus.2019.8656851
6. Jonathan P. Bona, Werner Ceusters. Mismatches between major subhierarchies and semantic tags in SNOMED CT. Journal of Biomedical Informatics (2018). DOI: 10.1016/j.jbi.2018.02.009
7. Ondřej P., Miloslav K. UlsaNA: Universal language semantic analyzer. International Conference Recent Advances in Natural Language Processing, RANLP (2019). DOI: 10.26615/978-954-452-056-4_112
8. Anastasia M., Vladimir M. Mathematical model of an ontological-semantic analyzer using basic ontological-semantic patterns. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2017). DOI: 10.1007/978-3-319-62434-1_5
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