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Many email and word processing applications can now automatically detect and correct common grammatical errors as you write. For example, the sentence “I am doing fine. How is you?” might be corrected to “I am doing fine. How are you?”. The goal of this project is to fine-tune a Transformer model to be able to automatically provide these corrections, similar to how Grammarly does
This task can be viewed as a sequence-to-sequence task, so models like T5 would be a great starting point
If you use T5, you’ll need to define a suitable prefix for the text-to-text task. You’ll also need to think about suitable metrics for the evaluation.
- Create a Streamlit or Gradio app on Spaces that can automatically provide suggestions to improve the grammar of some input text. Check out Grammarly for some inspiration on the visualization side.
- Don’t forget to push all your models and datasets to the Hub so others can build on them!
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