Grammatical Error Correction in Low-Resource Scenarios

This repository contains information on how to replicate our experiments on training state-of-the-art models for grammatical error correction in low-resource languages.

Citation

@article{naplava2019grammatical,
  title={Grammatical Error Correction in Low-Resource Scenarios},
  author={N{\'a}plava, Jakub and Straka, Milan},
  booktitle = "Proceedings of the 2019 {EMNLP} Workshop W-{NUT}: The 5th Workshop on Noisy User-generated Text",
  year = "2019",
  address = "Hong Kong",
  publisher = "Association for Computational Linguistics",
}

Content

• data -- information on how to generate artificial data
• training -- information on how to train and infer model for GEC