BIR SO‘Z TURKUMIDAGI OMONIM SO‘ZLARNI ANIQLASH USULLARI
Keywords:
NLP (natural language processing), homonymy, Machine learning approach, context, word sense disambiguation (WSD-word sense disambiguation)Abstract
One of the important tasks in the field of natural language processing is the issue of homonymy. This problem exists in different natural languages, and different methods are proposed in each natural language. Different methods can be used for semantic differentiation of homonyms. In the semantic differentiation of homonymous words in the Uzbek language, different methods can be used depending on whether they meet in different word groups and within the same word group. This article discusses the methods of semantic differentiation of homonyms within the same word group. The world experiences of using the methods of the Machine Learning approach in determining homonymy within a word group were studied.
References
Elov B.B., Axmedova X.I. Uchta so‘z turkumi doirasidagi omonimiyani farqlovchi biznes jarayonni modellashtirish// O‘zbekiston respublikasi innovatsion rivojlanish vazirligining, Ilm-fan va innovasion rivojlanish ilmiy jurnal 2022 / 1, 150-162-b.
Axmedova X. I. Turli so‘z turkumlari orasidagi omonimiyani aniqlovchi matematik modellar// Science and innovation international scientific journal volume 1 issue 7 uif-2022: 8.2 | issn: 2181-3337. https://doi.org/10.5281/zenodo.7238546
Axmedova X.I. Chastotali usul yordamida omonimiyani aniqlash// “O‘ZBEK AMALIY FILOLOGIYASI ISTIQBOLLARI” Respublika ilmiy-amaliy konferensiyasi Toshkent: 2022.-164-170 b.
Elov B.B., Axmedova X.I. Determining homonymy using statistical methods. // “Hisoblash modellari va texnologiyalari (HMT 2022)” O‘zbekiston-Malayziya ikkinchi xalqaro konferensiyasi materiallari- Toshkent, 2022 16-17 sentabr,-106 b.
Elov B., Hamroyeva Sh., Xusainova Z., Xudayberganov N., Yodgorov U., Yuldashev A. “POS TAGGING OF UZBEK TEXTS USING HIDDEN MARKOV MODELS (HMM) AND VITERBI ALGORITHM”. “O‘zbekiston Milliy universitetining ilm-fan rivoji va jamiyat taraqqiyotida tutgan o‘rni” mavzusidagi xalqaro ilmiy-amaliy konferensiya, 2023 yil, 12 may, 104-115-b.
Elov B.B., Axmedova X.I. Homonymy detection using a Naïve Bayes classifier. Journal of Computer Science Engineering and Information Technology Research (JCSEITR) ISSN(P): 2250-2416; ISSN(E): Applied Vol. 13, Issue 1, March 2023, 5–20 © TJPRC Pvt.Ltd, Hindiston
Elov B.B., Axmedova X.I. Primova M.H., Khudayberganov N.U. Semantic Differentiation of Uzbek Homonyms Using the Lesk Algorithm. UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering, 2023, страницы 137–140. https://doi.org/10.1109/UBMK59864.2023.10286666
Eneko Agirre and Philip Edmonds "Word Sense Disambiguation: Algorithms and Applications" Springer, 2007, ISBN: 978-1-84628-855-2
Pushpak Bhattacharyya and Josef van Genabith, "Word Sense Disambiguation in Indian Languages", 2017, Springer, ISBN: 978-981-10-4055
"La désambiguïsation lexicale et ses applications" (Lexical Disambiguation and Its Applications) by Isabelle Tellier.
M. Victoria Marrero Aguiar, "Desambiguación léxica y sentido en el español" (Lexical Disambiguation and Sense in Spanish) Publicacions i Edicions de la Universitat de Barcelona, 2008, ISBN: 978-84-475-3275-7
Huang Xiaorong, Semantic Disambiguation Techniques for Chinese Words Science Press, 2009, ISBN: 978-7-03-024173-1
