Skip to content
@grammatical

grammatical

Automatic grammatical error correction

Popular repositories

  1. neural-naacl2018 neural-naacl2018 Public

    Neural models and instructions on how to reproduce our results for our neural grammatical error correction systems from M. Junczys-Dowmunt, R. Grundkiewicz, S. Guha, K. Heafield: Approaching Neural…

    Python 88 15

  2. baselines-emnlp2016 baselines-emnlp2016 Public

    Baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M. Junczys-Dowmunt, R. Grundkiewicz: Phrase-based Machine Tra…

    Perl 69 17

  3. pretraining-bea2019 pretraining-bea2019 Public

    Models, system configurations and outputs of our winning GEC systems in the BEA 2019 shared task described in R. Grundkiewicz, M. Junczys-Dowmunt, K. Heafield: Neural Grammatical Error Correction S…

    Shell 49 8

  4. coling2020-tutorial coling2020-tutorial Public

    This repository contains materials for our tutorial on automatic grammatical error correction: R. Grundkiewicz, C. Bryant, M. Felice: A Crash Course in Automatic Grammatical Error Correction, COLIN…

    TeX 38 5

  5. magec-wnut2019 magec-wnut2019 Public

    Models and training scripts for the English, German and Russian MAGEC systems described in R. Grundkiewicz, M. Junczys-Dowmunt: Minimally-Augmented Grammatical Error Correction, W-NUT 2019.

    Python 12 1

  6. evaluation evaluation Public

    Data and scripts for our EMNLP 2015 paper: Grundkiewicz, Roman and Junczys-Dowmunt, Marcin and Gillian, Edward. Human Evaluation of Grammatical Error Correction Systems. Proceedings of the 2015 Con…

    Python 10

Repositories

Showing 7 of 7 repositories
  • magec-wnut2019 Public

    Models and training scripts for the English, German and Russian MAGEC systems described in R. Grundkiewicz, M. Junczys-Dowmunt: Minimally-Augmented Grammatical Error Correction, W-NUT 2019.

    Python 12 1 2 0 Updated Jul 7, 2021
  • coling2020-tutorial Public

    This repository contains materials for our tutorial on automatic grammatical error correction: R. Grundkiewicz, C. Bryant, M. Felice: A Crash Course in Automatic Grammatical Error Correction, COLING 2020.

    TeX 38 5 0 0 Updated Dec 12, 2020
  • pretraining-bea2019 Public

    Models, system configurations and outputs of our winning GEC systems in the BEA 2019 shared task described in R. Grundkiewicz, M. Junczys-Dowmunt, K. Heafield: Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data, BEA 2019.

    Shell 49 MIT 8 1 1 Updated Oct 22, 2019
  • neural-naacl2018 Public

    Neural models and instructions on how to reproduce our results for our neural grammatical error correction systems from M. Junczys-Dowmunt, R. Grundkiewicz, S. Guha, K. Heafield: Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task, NAACL 2018.

    Python 88 MIT 15 5 0 Updated Jun 13, 2019
  • baselines-emnlp2016 Public

    Baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M. Junczys-Dowmunt, R. Grundkiewicz: Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction, EMNLP 2016.

    Perl 69 MIT 17 2 0 Updated May 27, 2019
  • grammatical.github.io Public

    Webpage on Automatic Grammatical Error Correction, http://grammatical.github.io

    HTML 4 1 6 0 Updated Mar 31, 2017
  • evaluation Public

    Data and scripts for our EMNLP 2015 paper: Grundkiewicz, Roman and Junczys-Dowmunt, Marcin and Gillian, Edward. Human Evaluation of Grammatical Error Correction Systems. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015.

    Python 10 0 1 0 Updated Mar 23, 2017

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…