Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection

@inproceedings{Kasewa2018WrongingAR,
  title={Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection},
  author={Sudhanshu Kasewa and Pontus Stenetorp and Sebastian Riedel},
  booktitle={EMNLP},
  year={2018}
}
Grammatical error correction, like other machine learning tasks, greatly benefits from large quantities of high quality training data, which is typically expensive to produce. While writing a program to automatically generate realistic grammatical errors would be difficult, one could learn the distribution of naturallyoccurring errors and attempt to introduce them into other datasets. Initial work on inducing errors in this way using statistical machine translation has shown promise; we… CONTINUE READING

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