  Everyone wants to write beautiful and correct text, yet the lack of language
skills, experience, or hasty typing can result in errors. By employing the
recent advances in transformer architectures, we construct a grammatical error
correction model for Lithuanian, the language rich in archaic features. We
compare subword and byte-level approaches and share our best trained model,
achieving F$_{0.5}$=0.92, and accompanying code, in an online open-source
repository.
