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🚀 ParsBERT (v3.0)

A Transformer-based Model for Persian Language Understanding

The new version of ParsBERT (v3.0) is now available. It can handle the zero-width non-joiner character in Persian writing. Moreover, the model was trained on new multi - type corpora with a new vocabulary set.

🚀 Quick Start

This section is coming soon.

✨ Features

• ParsBERT is a monolingual language model based on Google’s BERT architecture.
• It is pre - trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).
• It can tackle the zero - width non - joiner character for Persian writing.

📚 Documentation

Introduction

ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre - trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).

Paper presenting ParsBERT: arXiv:2005.12515

BibTeX entry and citation info

Please cite in publications as the following:

@article{ParsBERT,
    title={ParsBERT: Transformer-based Model for Persian Language Understanding},
    author={Mehrdad Farahani, Mohammad Gharachorloo, Marzieh Farahani, Mohammad Manthouri},
    journal={ArXiv},
    year={2020},
    volume={abs/2005.12515}
}

📄 License

This project is licensed under the Apache 2.0 license.

💬 Questions?

Post a Github issue on the ParsBERT Issues repo.