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        <title>The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction</title>
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    <name type="personal">
        <namePart type="given">Phu</namePart>
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            <title>Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications</title>
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        <name type="personal">
            <namePart type="given">Helen</namePart>
            <namePart type="family">Yannakoudakis</namePart>
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        <name type="personal">
            <namePart type="given">Ekaterina</namePart>
            <namePart type="family">Kochmar</namePart>
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            <namePart type="given">Claudia</namePart>
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        <name type="personal">
            <namePart type="given">Nitin</namePart>
            <namePart type="family">Madnani</namePart>
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        <name type="personal">
            <namePart type="given">Ildikó</namePart>
            <namePart type="family">Pilán</namePart>
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        <name type="personal">
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    <abstract>In this paper, we investigate the impact of using 4 recent neural models for generating artificial errors to help train the neural grammatical error correction models. We conduct a battery of experiments on the effect of data size, models, and comparison with a rule-based approach.</abstract>
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    <identifier type="doi">10.18653/v1/W19-4449</identifier>
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%0 Conference Proceedings
%T The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction
%A Htut, Phu Mon
%A Tetreault, Joel
%Y Yannakoudakis, Helen
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Madnani, Nitin
%Y Pilán, Ildikó
%Y Zesch, Torsten
%S Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F htut-tetreault-2019-unbearable
%X In this paper, we investigate the impact of using 4 recent neural models for generating artificial errors to help train the neural grammatical error correction models. We conduct a battery of experiments on the effect of data size, models, and comparison with a rule-based approach.
%R 10.18653/v1/W19-4449
%U https://aclanthology.org/W19-4449
%U https://doi.org/10.18653/v1/W19-4449
%P 478-483

Markdown (Informal)

[The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction](https://aclanthology.org/W19-4449) (Htut & Tetreault, BEA 2019)

• The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction (Htut & Tetreault, BEA 2019)

ACL

• Phu Mon Htut and Joel Tetreault. 2019. The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction. In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, pages 478–483, Florence, Italy. Association for Computational Linguistics.