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Binary and multi-class grammatical error detection models.
The experiment was performed according to Yuan+ 21.

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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Model size

360M params

Tensor type

F32

Inference Examples

Token Classification

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Collection including gotutiyan/token-ged-xlnet-large-cased-bin

Token-level GED

Collection

6 items • Updated Apr 26