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    <titleInfo>
        <title>Cool English: a Grammatical Error Correction System Based on Large Learner Corpora</title>
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    <name type="personal">
        <namePart type="given">Yu-Chun</namePart>
        <namePart type="family">Lo</namePart>
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    <name type="personal">
        <namePart type="given">Jhih-Jie</namePart>
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    <name type="personal">
        <namePart type="given">Chingyu</namePart>
        <namePart type="family">Yang</namePart>
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    <name type="personal">
        <namePart type="given">Jason</namePart>
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            <title>Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations</title>
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            <namePart type="given">Dongyan</namePart>
            <namePart type="family">Zhao</namePart>
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    <abstract>This paper presents a grammatical error correction (GEC) system that provides corrective feedback for essays. We apply the sequence-to-sequence model, which is frequently used in machine translation and text summarization, to this GEC task. The model is trained by EF-Cambridge Open Language Database (EFCAMDAT), a large learner corpus annotated with grammatical errors and corrections. Evaluation shows that our system achieves competitive performance on a number of publicly available testsets.</abstract>
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%0 Conference Proceedings
%T Cool English: a Grammatical Error Correction System Based on Large Learner Corpora
%A Lo, Yu-Chun
%A Chen, Jhih-Jie
%A Yang, Chingyu
%A Chang, Jason
%Y Zhao, Dongyan
%S Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico
%F lo-etal-2018-cool
%X This paper presents a grammatical error correction (GEC) system that provides corrective feedback for essays. We apply the sequence-to-sequence model, which is frequently used in machine translation and text summarization, to this GEC task. The model is trained by EF-Cambridge Open Language Database (EFCAMDAT), a large learner corpus annotated with grammatical errors and corrections. Evaluation shows that our system achieves competitive performance on a number of publicly available testsets.
%U https://aclanthology.org/C18-2018
%P 82-85

Markdown (Informal)

[Cool English: a Grammatical Error Correction System Based on Large Learner Corpora](https://aclanthology.org/C18-2018) (Lo et al., COLING 2018)

• Cool English: a Grammatical Error Correction System Based on Large Learner Corpora (Lo et al., COLING 2018)

ACL

• Yu-Chun Lo, Jhih-Jie Chen, Chingyu Yang, and Jason Chang. 2018. Cool English: a Grammatical Error Correction System Based on Large Learner Corpora. In Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations, pages 82–85, Santa Fe, New Mexico. Association for Computational Linguistics.