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    <titleInfo>
        <title>Czech Grammar Error Correction with a Large and Diverse Corpus</title>
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    <name type="personal">
        <namePart type="given">Jakub</namePart>
        <namePart type="family">Náplava</namePart>
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    <name type="personal">
        <namePart type="given">Milan</namePart>
        <namePart type="family">Straka</namePart>
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    <name type="personal">
        <namePart type="given">Jana</namePart>
        <namePart type="family">Straková</namePart>
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    <name type="personal">
        <namePart type="given">Alexandr</namePart>
        <namePart type="family">Rosen</namePart>
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    <abstract>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 judgments 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.</abstract>
    <identifier type="citekey">naplava-etal-2022-czech</identifier>
    <identifier type="doi">10.1162/tacl_a_00470</identifier>
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        <url>https://aclanthology.org/2022.tacl-1.26</url>
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    <part>
        <date>2022</date>
        <detail type="volume"><number>10</number></detail>
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            <start>452</start>
            <end>467</end>
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%0 Journal Article
%T Czech Grammar Error Correction with a Large and Diverse Corpus
%A Náplava, Jakub
%A Straka, Milan
%A Straková, Jana
%A Rosen, Alexandr
%J Transactions of the Association for Computational Linguistics
%D 2022
%V 10
%I MIT Press
%C Cambridge, MA
%F naplava-etal-2022-czech
%X 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 judgments 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.
%R 10.1162/tacl_a_00470
%U https://aclanthology.org/2022.tacl-1.26
%U https://doi.org/10.1162/tacl_a_00470
%P 452-467

Markdown (Informal)

[Czech Grammar Error Correction with a Large and Diverse Corpus](https://aclanthology.org/2022.tacl-1.26) (Náplava et al., TACL 2022)

• Czech Grammar Error Correction with a Large and Diverse Corpus (Náplava et al., TACL 2022)

ACL

• Jakub Náplava, Milan Straka, Jana Straková, and Alexandr Rosen. 2022. Czech Grammar Error Correction with a Large and Diverse Corpus. Transactions of the Association for Computational Linguistics, 10:452–467.