Czech Grammar Error Correction with a Large and Diverse Corpus
We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English. The ( ) offers a variety of four domains, covering error distributions ranging from high error...
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Veröffentlicht in: | Transactions of the Association for Computational Linguistics 2022-04, Vol.10, p.452-467 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | We introduce a large and diverse Czech corpus annotated for grammatical error correction (GEC) with the aim to contribute to the still scarce data resources in this domain for languages other than English. The
(
) offers a variety of four domains, covering error distributions ranging from high error density essays written by non-native speakers, to website texts, where errors are expected to be much less common. We compare several Czech GEC systems, including several Transformer-based ones, setting a strong baseline to future research. Finally, we meta-evaluate common GEC metrics against human judgments on our data. We make the new Czech GEC corpus publicly available under the CC BY-SA 4.0 license at
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ISSN: | 2307-387X 2307-387X |
DOI: | 10.1162/tacl_a_00470 |