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Towards Lithuanian grammatical error correction

2022-03-18Code Available0· sign in to hype

Lukas Stankevičius, Mantas Lukoševičius

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Abstract

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.

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