@grammatical
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grammatical

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  • Stars
    star
    270
  • Global Org. Rank 34,330 (Top 11 %)
  • Registered about 10 years ago
  • Most used languages
    Python
         42.9 %
    HTML
         14.3 %
    Shell
         14.3 %
    Perl
         14.3 %
    TeX
         14.3 %

Top repositories

1

neural-naacl2018

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
star
2

baselines-emnlp2016

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
star
3

pretraining-bea2019

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
50
star
4

coling2020-tutorial

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
star
5

magec-wnut2019

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
star
6

evaluation

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
star
7

grammatical.github.io

Webpage on Automatic Grammatical Error Correction, http://grammatical.github.io
HTML
4
star