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Asosiy til:O'zbek

SO‘Z MA’NOSINI ANIQLASHDA NAIVE BAYES ALGORITMIDAN FOYDALANISH

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MAQOLA ANNOTATSIYASI

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Tabiiy tilni qayta ishlash jarayonlarining dolzarb masalalaridan biri – bu so‘z ma’nosini aniqlashdir. So‘z ma’nosini aniqlash masalasining muhim elementi sifatida omonim so‘zlar qaraladi. Bu masalani yeсhishda mashinali o‘qitishga asoslangan usullar alohida o‘rin tutadi. Naive Bayes klassifikatori ana shunday usullardan biridir. O‘zbek tilidagi turli va grammatik jihatdan o‘xshash bo‘lgan so‘z turkumlari orasidagi omonimiyani bartaraf etishda Naive Bayes klassifikatori soddaligi va tezkorligi bilan boshqa usullardan ajralib turadi. Mazkur klassifi kator ko‘p sinfli tasniflashning eng mashhur algoritmlaridan biri bo‘lib, ko‘rib chiqilayotgan ma’lumotlarga qarab, Naive Bayes algoritmlarining 3 turi (Gauss, Multinominal, Bernoulli)ning istalganidan foydalanish mumkin. Ushbu maqolada o‘zbek tilining grammatik jihatdan o‘xshash bo‘lgan so‘z turkumlari orasidagi omonimiyani aniqlashda klassifi katordan foydalanish jarayonlari batafsil yoritib berilgan.

MUALIFLAR

Teglar

# омонимия# homonymy# смысл слова# Natural language processing# tabiiy tilni qayta ishlash jaray# so‘z ma’nosini aniqlash# omonimiya# Naive Bayes klassifikatori# matnlarni tasniflash# aprior va aposterior ehtimollikl# Scikit learn kutubxonasi# обработка естественного языка# наивный байесовский классификато# классификация текстов# априорные и апостериорные вероят# обучающая библиотека Scikit# Word sense disambiguation# Naive Bayes classifier# text classification# prior and posterior probabilitie# Scikit learning library

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Maqola idintifikatorlari

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