Towards Lithuanian grammatical error correction
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Abstract (arXiv)
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 F0.5=0.92, and accompanying code, in an online open-source repository.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 20 of its 34 references that are in the map. First posted on arXiv 18 Mar 2022.
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20 of 34 references.
References · 20
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8 more
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.