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Information × Registration Number 2123U006683, Article popup.category Препринт Title popup.author Pavelko Roman popup.publication 01-01-2023 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4824 popup.publisher Description Grammatical Error Correction (GEC), along with other major NLP tasks with En- glish as primary language, has seen a lot of improvements in the recent decade. In this work, we investigate the efficiency of Neural Machine Translation (NMT) and Sequence Tagging approaches in Ukrainian language mainly by fine-tuning large language models on task-specific data, the UA-GEC dataset developed by Gram- marly. popup.nrat_date 2025-05-09 Close