Machine correction of grammatical errors in the Slovenian language is still an unsolved problem. Its solution would improve written communication. We divide the problem into subproblems: correcting word spelling, detecting misspelled words, correcting word inflection and correcting word order. The best results are achieved by finetuning the Slovenian SloT5 model. We use the best models in a web application. We conclude that in correcting grammatical errors, the most important consideration is the choice of a large language model and construction of a learning set. When building the learning set, we try to capture as many realistic grammatical errors as possible, without changing the meaning of the text.
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