A COMPARATIVE STUDY OF IDIOMS RELATED TO EMOTIONS IN UZBEK AND ENGLISH USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Abstract
This article presents a comparative analysis of idiomatic expressions conveying emotional states in Uzbek and English languages and uses artificial intelligence technologies to study linguistic research. The application of AI-based natural language processing tools reveals patterns in idiomatic usage that traditional methods may overlook which brings new insights for contrastive phraseology research. The findings contribute to cross-cultural communication studies and computational linguistics research because they produce practical insights for translation work and language teaching practices and machine translation systems which handle figurative language.
References
1. Cowie, A. P. Phraseology: Theory, Analysis, and Applications. – Oxford: Oxford University Press, 1998. – 258 p.
2. Jurafsky, D., Martin, J. H. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. – 3rd ed. – Stanford: Stanford University, 2023. – 622 p.
3. Gudkov, D. B. Teoriya i praktika mezhkul'turnoy kommunikatsii [Theory and Practice of Intercultural Communication]. – Moscow: Gnozis, 2003. – 288 s.
4. Lado, R. Linguistics Across Cultures: Applied Linguistics for Language Teachers. – Ann Arbor: University of Michigan Press, 1957. – 141 p.
5. Lakoff, G., Johnson, M. Metaphors We Live By. – Chicago: University of Chicago Press, 1980. – 242 p.
6. Vinogradov, V. V. Ob osnovnykh tipakh frazeologicheskikh edinits v russkom yazyke [On the Main Types of Phraseological Units in Russian]. – Moscow: Nauka, 1977. – 312 s.
7. Rahmatullayev, Sh. O'zbek tilining frazeologik lug'ati [Phraseological Dictionary of the Uzbek Language]. – Toshkent: O'qituvchi, 1992. – 448 b.
8. Kövecses, Z. Metaphor and Emotion: Language, Culture, and Body in Human Feeling. – Cambridge: Cambridge University Press, 2000. – 223 p.
9. Saxena, P., Paul, S. Sentiment Analysis of Idioms Using Neural Network Models // Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. – Abu Dhabi, 2022. – P. 1142–1156.
10. Fadaee, M., Bisazza, A., Monz, C. Examining the Challenges of Neural Machine Translation for Idiomatic Expressions // Computational Linguistics. – 2018. – Vol. 44, No. 3. – P. 451–482.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Mahliyo Mamatqobulova
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Litsenziya shartlari
Bu ish Creative Commons Attribution-NoCommercial 4.0 xalqaro litsenziyasi ostida litsenziyalangan. Ushbu litsenziya nusxasini koʻrish uchun http://creativecommons.org/licenses/by-nc/4.0/ saytiga tashrif buyuring yoki Creative Commons, PO Box 1866, Mountain View, CA 94042, AQShga xat yuboring.
Ushbu litsenziyaga muvofiq, siz:
Ulashish — materialni istalgan vosita yoki formatda nusxalash va qayta tarqatish
Moslashtiring - remiks qiling, o'zgartiring va materialga asoslang
Litsenziya shartlariga rioya qilgan holda litsenziar ushbu erkinliklarni bekor qila olmaydi. Quyidagi shartlar asosida:
Atribut - Siz tegishli kredit berishingiz, litsenziyaga havolani taqdim etishingiz va o'zgartirishlar kiritilganligini ko'rsatishingiz kerak. Siz buni har qanday oqilona yo'l bilan qilishingiz mumkin, lekin litsenziar sizni yoki sizning foydalanishingizni ma'qullashini taklif qiladigan tarzda emas.
Notijorat - Siz materialdan tijorat maqsadlarida foydalana olmaysiz.
Hech qanday qo'shimcha cheklovlar yo'q - Siz boshqalarga litsenziya ruxsat bergan har qanday harakatni qonuniy ravishda cheklaydigan qonuniy shartlar yoki texnologik choralarni qo'llay olmaysiz.
