
Official implementation of sequence-tagger model for Turkish Grammatical Error Correction task.

For further details, please refer to the research paper available at this [link](https://aclanthology.org/2023.findings-ijcnlp.26.pdf).

The training and inference code can be accessed through the official repository, found here: [link](https://github.com/GGLAB-KU/gecturk/tree/main).
{"language": ["tr"], "license": "apache-2.0", "datasets": ["GGLab/GECTurk"], "inference": false, "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification tr dataset:GGLab/GECTurk license:apache-2.0 autotrain_compatible region:us