Adapt to individual user's vocabulary

[Tejaswgupta]

I've fine-tuned a model for hindi which is giving pretty good accuracy. However in production environment , user's might have unique words which aren't in the model vocabulary. How can we integrate some sort of active/continuous learning mechanism to incorporate each individuals's vocabulary when they use the model. This could happen when the user corrects certain typos.