Algorithms and software for automatic spelling and grammatical editing of uzbek words

Abstract

In the process of globalization and digital informatization, information technologies play a very important role
in the development of the Uzbek language. As a result of the Natural Language Processing (NLP) process of computer
linguistics and the creation of a (formal) form of natural language that can be understood by a computer, language-related
issues (editing, analysis, translation, voicing electronic text, converting spoken speech into electronic text, communicating
with a robot , such as converting large text into compact text) are being created. This article reviews the UZMORF
program and tools written in the Python programming language for natural language processing (NLP), which is one of
the main areas of computational linguistics. This program was created to automate the editing and processing of Uzbek
words and their spelling and grammar. The system works on texts and performs syntactic and morphological analysis on
words. As a result of these analyses, the system determines the words and their grammatical solutions and marks the
places where there are errors