Improving Low-Resource Languages in Pre-Trained Multilingual Language Models

Resources:

• Paper
• Code on GitHub

Contact:

• Viktor Hangya

If you use the approach in your work, please cite the following paper:

@inproceedings{hangya-etal-2022-improving,
    title = "Improving Low-Resource Languages in Pre-Trained Multilingual Language Models",
    author = "Hangya, Viktor  and
      Saadi, Hossain Shaikh  and
      Fraser, Alexander",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.822",
    pages = "11993--12006",
}