KORPUS ASOSIDA TERMINLARNI AVTOMATIK AJRATIB OLISH METODOLOGIYASI

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Nashr: Jild 4 Nomeri 39 : Инновационные исследования в современном мире: теория и практика
Bo'lim: Maqolalar
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O'zbekiston Davlat Jahon Tillari Universiteti Tayanch doktoranti
info@in-academy.uz

Abstrak:

Maqola parallel korpuslardan terminologik birliklarni avtomatik ajratib olish metodologiyasini o'rganadi. Tadqiqotda statistik, lingvistik va gibrid yondashuvlar tahlil qilinadi hamda 4,400 gap va 1,468 termindan iborat ingliz-o'zbek korpusi asosida Sketch Engine vositasining imkoniyatlari ko'rsatiladi. Natijalar gibrid yondashuv (precision=89.7%, recall=86.2%) terminologiya ajratishda eng samarali ekanligini tasdiqlaydi.

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##submission.howToCite##:

Asqarova, M. . (2025). KORPUS ASOSIDA TERMINLARNI AVTOMATIK AJRATIB OLISH METODOLOGIYASI. Zamonaviy Dunyoda Innovatsion Tadqiqotlar: Nazariya Va Amaliyot, 4(39), 13–14. Retrieved from https://in-academy.uz/index.php/zdit/article/view/67749

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Kilgarriff, A., et al. (2014). The Sketch Engine: Ten years on. Lexicography, 1(1), 7-36.

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Zhang, Z., Gao, J., & Ciravegna, F. (2018). SemRe-Rank: Improving automatic term extraction. ACM Transactions on Knowledge Discovery, 12(5), 1-41.