Czech Grammar Error Correction with a Large and Diverse Corpus
This work addresses the problem of limited GEC resources for non-English languages, specifically Czech, by providing a new corpus and benchmarks, though it is incremental in nature.
The authors tackled the scarcity of grammatical error correction (GEC) data for Czech by introducing a large and diverse corpus (GECCC) covering four domains, and they compared several Transformer-based systems to set a strong baseline for future research.
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 Grammar Error Correction Corpus for Czech (GECCC) 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 judgements on our data. We make the new Czech GEC corpus publicly available under the CC BY-SA 4.0 license at http://hdl.handle.net/11234/1-4639 .