TABIIY TILNI QAYTA ISHLASH(NLP)DA KORPUS TEXNOLOGIYASINING O‘RNI
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Аннотация:
Maqolada NLP va korpus texnologiyalari o‘rtasidagi o‘zaro bog‘liqlik ham tahlil qilingan. Korpus texnologiyalari NLP uchun zarur bo‘lgan ma’lumot va vositalarni taqdim etadi, NLP esa ushbu ma’lumotlarni real amaliyotlarda qo‘llaydi. Ushbu integratsiya lingvistika va texnologiya sohalarida yangi imkoniyatlarni ochib beradi. Korpus texnologiyalarining lisoniy qoliplar, grammatik qoidalar va lug‘atlarni rivojlantirishdagi rolini yoritib, uning ontologik bilimlar bazasi, semantik tarmoqlar va sun’iy intellekt tizimlarida qo‘llanilishiga urg‘u beradi. Shuningdek, tilshunoslik tadqiqotlarida maxsus korpuslardan foydalanish statistik natijalarga erishishning kvantitativ yondashuv sifatida taqdim etiladi. Korpus texnologiyalarining asosiy vositalari, masalan, AntConc, konkordansiya vositalari, kollokatsiya grafiklari va n-gram tahlillari matnning yuzaki xususiyatlarini tahlil qilish uchun samarali hisoblanadi.
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Abduraxmonova Nilufar Zaynobiddin qizi, Korpus lingvistikasi(darslik), Toshkent-2023,8-bet
D. Vojnović, “Key noun+noun collocations in the language of tourism: a corpus-based study of English and Serbian,” ELOPE: English Language Overseas Perspectives and Enquiries, vol. 18, no. 2, pp. 51–68, 2021, doi: 10.4312/ELOPE.18.2.51-68.
J. Buts and H. Jones, “From text to data: mediality in corpus-based translation studies,” Monografias de Traduccion eInterpretacion (MonTI), no. 13, pp. 301–329, 2021, doi: 10.6035/MonTI.2021.13.10.
A. Sarudin, H. F. M. Redzwan, and A. A. Tan, “The development of a medicinal nadir glossary through the # lancsbox 6 . 0 ofwizard software,” Malaysia Journal of Invention and Innovation, vol. 1, no. 1, pp. 73–84, 2022.
Abhay A. Dande and Dr. M. A. Pund, “A review study on applications of natural language processing,” International Journal ofScientific Research in Science, Engineering and Technology, vol. 10, no. 2, pp. 122–126, 2023, doi: 10.32628/ijsrset2310214
T. Gaillat et al., “A data repository for the management of dynamic linguistic datasets,” in A data repository for the managementof dynamic linguistic datasets, 2021.
X. Q. Xia, M. McClelland, and Y. Wang, “TabSQL: a MySQL tool to facilitate mapping user data to public databases,” BMCBioinformatics, vol. 11, pp. 2–5, 2010, doi: 10.1186/1471-2105-11-342.
(PDF) Exploring corpus linguistics via computational tool analysis: key finding review. Available from: https://www.researchgate.net/publication/380253006_Exploring_corpus_linguistics_via_computational_tool_analysis_key_finding_review#fullTextFileContent
B. Li, “Integrating linguistic theory and neural language models,” ArXiv Preprint, 2022. [Online]. Available: http://arxiv.org/abs/2207.09643v1.
P. Yao, M. Kosmajac, A. Waheed, K. Guzhva, N. Hervieux, and D. Barbosa, “NLP workbench: efficient and extensibleintegration of state-of-the-art text mining tools,” EACL 2023 - 17th Conference of the European Chapter of the Association forComputational Linguistics, Proceedings of System Demonstrations, pp. 18–26, 2023, doi: 10.18653/v1/2023.eacl-demo.3.