Czech Grammar Error Correction with a Large and Diverse Corpus

Autor:	Náplava, Jakub, Straka, Milan, Straková, Jana, Rosen, Alexandr
Rok vydání:	2022
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
DOI:	10.1162/tacl_a_00470
Popis:	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 . Comment: Published in TACL, MIT Press
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2201.05590 Zobrazit plný text záznamu View this record from Arxiv