| | --- |
| | language: fa |
| | license: apache-2.0 |
| | --- |
| | |
| | # ParsBERT (v3.0) |
| | A Transformer-based Model for Persian Language Understanding |
| |
|
| | The new version of BERT v3.0 for Persian is available today and can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary. |
| |
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| |
|
| | ## 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](https://arxiv.org/abs/2005.12515) |
| |
|
| | ### BibTeX entry and citation info |
| |
|
| | Please cite in publications as the following: |
| |
|
| | ```bibtex |
| | @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} |
| | } |
| | ``` |
| |
|
| | ## Questions? |
| | Post a Github issue on the [ParsBERT Issues](https://github.com/hooshvare/parsbert/issues) repo. |
