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---
language: en
license: cc-by-nc-sa-4.0
tags:
- grammatical error correction
- grammatical error detection
---
Binary and multi-class grammatical error detection models.
The experiment was performed according to [Yuan+ 21](https://aclanthology.org/2021.emnlp-main.687/).
The code and the performance on GEC benchmarks are avaliable from https://github.com/gotutiyan/ged_baselines.
Trained models are distributed for research and educational purposes only.
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