O‘ZBEK TILIDAGI KORPUSLARDA SO‘Z BOYLIGINI SUN’IY INTELLEKT YORDAMIDA AVTOMATIK ANIQLASH: MUAMMOLAR VA YECHIMLAR

Ushbu maqolada o‘zbek tilidagi elektron korpuslarda so‘z boyligini sun’iy intellekt yordamida avtomatik aniqlashning nazariy va amaliy jihatlari tahlil qilinadi. Maqolaning dolzarbligi mavjud korpuslarda leksik birliklarni avtomatik tahlil qilish mexanizmlarining yetarli darajada rivojlanmaganligi bilan belgilanadi. Maqolaning maqsadi – o‘zbek tili morfologik xususiyatlariga moslashtirilgan neyrotarmoqli modellar asosida so‘z boyligini aniqlash samaradorligini oshirish yo‘llarini taklif etishdir. Sun’iy intellekt vositalari o‘zbek tili korpuslarining leksikografik salohiyatini sezilarli darajada kengaytirishi mumkin.

This paper examines the theoretical and practical aspects of automatic vocabulary extraction in Uzbek electronic corpora using artificial intelligence. The relevance of this study stems from the underdeveloped state of automatic lexical analysis mechanisms in existing corpora. The aim is to propose methods for improving the efficiency of vocabulary identification based on neural network models tailored to the morphological characteristics of the Uzbek language. Artificial intelligence tools can substantially enhance the lexicographic potential of Uzbek language corpora