KOMPYUTER LINGVISTIKASI VA SAVOL-JAVOB TIZIMLARINING RIVOJLANISH TARIXI: JAHON TAJRIBASI VA O‘ZBEK TILI UCHUN XULOSALAR

Abstract

This article provides a brief historical overview of machine translation and corpus linguistics within the development of computational linguistics. It then examines the major stages in the evolution of question-answering systems. The progression from early rule-based programs through neural network-based reading models to the modern Retrieval-Augmented Generation (RAG) architecture is analyzed. Alongside international experience, the article examines approaches developed for morphologically complex languages, with particular reference to Turkic languages and other languages with agglutinative structures. In addition, research in Uzbek computational linguistics is systematized and its potential as a foundation for developing question-answering systems is assessed.