In this project, we tried to train a model that can detect places that Persian people have to pronounce Ezafe in their speaking.
We used ParsBERT as our base model and finetuned it on our Ezafe dataset.
We got 98% accuracy on our test data.
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fine tuning ParsBERT model for Persian Ezafe Recognition
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