Please read the topic category description 12 to understand what this is all about


Description
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 1 does

Model(s)
This task can be viewed as a sequence-to-sequence task, so models like T5 would be a great starting point

Datasets

jfleg 11


Challenges
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.

Desired project outcomes

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!


Additional resources

https://towardsdatascience.com/fine-tune-a-transformer-model-for-grammar-correction-b5c8ca49cc26 14
https://github.com/PrithivirajDamodaran/Gramformer 2


Discord channel
To chat and organise with other people interested in this project, head over to our Discord 7 and:

Follow the instructions on the #join-course channel
Join the writing-assistant channel

Just make sure you comment here to indicate that you’ll be contributing to this project 

Team organization on the Hub
To join this team, make sure you join the following organisation on the Hub:

team-writing-assistant (🤗 Course Team Writing Assistant) 13