Bartpho Syllable

🚀 BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese

BARTpho offers two versions, BARTpho-syllable and BARTpho-word, which are the first publicly available large - scale monolingual sequence - to - sequence models pre - trained specifically for the Vietnamese language. Leveraging the "large" architecture and pre - training scheme of the sequence - to - sequence denoising model BART, BARTpho is particularly well - suited for generative NLP tasks. Experiments on Vietnamese text summarization, a downstream task, demonstrate that BARTpho outperforms the strong baseline mBART in both automatic and human evaluations, advancing the state - of - the - art.

📚 Documentation

The general architecture and experimental results of BARTpho can be found in our paper:

@article{bartpho,
title     = {{BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese}},
author    = {Nguyen Luong Tran and Duong Minh Le and Dat Quoc Nguyen},
journal   = {arXiv preprint},
volume    = {arXiv:2109.09701},
year      = {2021}
}

⚠️ Important Note

Please CITE our paper when BARTpho is used to help produce published results or incorporated into other software.

📄 License

This project is licensed under the MIT license.

For further information or requests, please go to BARTpho's homepage!