Til identifikatori.
Tabiiy tilni qayta ishlash (NLP) sohasida tilni aniqlash vazifasi ma'lum matn yoki hujjat tilini aniqlashni o'z ichiga oladi, ammo ko'plab tillarni aniqlash qobiliyati qiyinlashadi. Ushbu model matndan 21 tilni tanib oladi,xususan, oʻzbek tilida qoʻllaniladigan lotin-kirill yozuviga eʼtibor qaratadi. Bu boradagi tadqiqotlar kamligini hisobga olib, mos transformator arxitekturasiga asoslangan oʻzbek lotin-kirill yozuvini aniqlik darajasi yuqori boʻlgan tilni aniqlash modelini taqdim etamiz. Modelimiz biz yaratgan o‘zbek tili korpusidan foydalangan holda baholandi, bu ham kelajakda o‘zbek tilini aniqlash vazifalarini baholash uchun qimmatli manba bo‘lib xizmat qilishi mumkin.Ushbu model 21 ta tilni, jumladan, ikkita alifboda (lotin va kirill) ifodalangan o‘zbek tilini qamrab oladi.
Language identifier.
The task of language identification in Natural Language Processing (NLP) involves identifying the language of a particular text or document, but the ability to identify multiple languages can be challenging. This model is capable of recognizing 21 languages from text, specifically focusing on the Latin-Cyrillic script used in Uzbek. Considering the scarcity of research in this area, we present a language identification model with a high degree of accuracy for the Uzbek Latin-Cyrillic script, based on the relevant transformer architecture. Our model has been evaluated using the Uzbek corpus that we created, which can potentially serve as a valuable resource for evaluating language identification tasks for Uzbek in the future. This model encompasses 21 languages, including Uzbek expressed in two scripts (Latin and Cyrillic).
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