Information Technologies for Solving the Problem of Correcting Errors in Ukrainian-language Texts
This article is dedicated to the study and analysis of grammatical error correction (GEC) tasks in Ukrainian language texts, which is a significant issue in the field of natural language processing (NLP). The paper addresses the specific challenges faced by automatic error correction systems due to the peculiarities of the Ukrainian language, such as its morphological complexity and contextuality. Examples of typical errors are provided, and the reasons why existing GEC methods often prove insufficient for Ukrainian are analysed.