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.
Fast-GeCo:Source code and demo for INTERSPEECH 2024 paper: Noise-robust Speech Separation with Fast Generative Correction
pytorch-human-performance-gec:A PyTorch implementation of "Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study"
// repository documentation
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