@inproceedings{htut-tetreault-2019-unbearable,
    title = "The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction",
    author = "Htut, Phu Mon  and
      Tetreault, Joel",
    editor = "Yannakoudakis, Helen  and
      Kochmar, Ekaterina  and
      Leacock, Claudia  and
      Madnani, Nitin  and
      Pil{\'a}n, Ildik{\'o}  and
      Zesch, Torsten",
    booktitle = "Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/W19-4449/",
    doi = "10.18653/v1/W19-4449",
    pages = "478--483",
    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."
}