grammatical
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neural-naacl2018
neural-naacl2018 PublicNeural 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…
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baselines-emnlp2016
baselines-emnlp2016 PublicBaseline 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…
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pretraining-bea2019
pretraining-bea2019 PublicModels, 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…
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coling2020-tutorial
coling2020-tutorial PublicThis 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…
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magec-wnut2019
magec-wnut2019 PublicModels 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.
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evaluation
evaluation PublicData 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…
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- 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.
grammatical/magec-wnut2019’s past year of commit activity - 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.
grammatical/coling2020-tutorial’s past year of commit activity - 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.
grammatical/pretraining-bea2019’s past year of commit activity - 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.
grammatical/neural-naacl2018’s past year of commit activity - 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.
grammatical/baselines-emnlp2016’s past year of commit activity - grammatical.github.io Public
Webpage on Automatic Grammatical Error Correction, http://grammatical.github.io
grammatical/grammatical.github.io’s past year of commit activity - 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.
grammatical/evaluation’s past year of commit activity