PuoBERTa: Training and Evaluation of a Curated Language Model for Setswana

Author:

Marivate VukosiORCID,Mots’Oehli Moseli,Wagnerinst ValenciaORCID,Lastrucci Richard,Dzingirai Isheanesu

Publisher

Springer Nature Switzerland

Reference39 articles.

1. Adebara, I., Elmadany, A., Abdul-Mageed, M., Alcoba Inciarte, A.: SERENGETI: massively multilingual language models for Africa. In: Findings of the Association for Computational Linguistics: ACL 2023, pp. 1498–1537. Association for Computational Linguistics, Toronto, Canada (2023). https://doi.org/10.18653/v1/2023.findings-acl.97

2. Adelani, D., et al.: A few thousand translations go a long way! leveraging pre-trained models for African news translation. In: Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 3053–3070. Association for Computational Linguistics, Seattle, United States (2022). https://doi.org/10.18653/v1/2022.naacl-main.223

3. Adelani, D., et al.: MasakhaNER 2.0: Africa-centric transfer learning for named entity recognition. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp. 4488–4508 (2022)

4. Agić, Ž., Vulić, I.: JW300: a wide-coverage parallel corpus for low-resource languages. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp. 3204–3210. Association for Computational Linguistics, Florence, Italy (2019). 10.18653/v1/P19-1310

5. Alabi, J.O., Adelani, D.I., Mosbach, M., Klakow, D.: Adapting pre-trained language models to African languages via multilingual adaptive fine-tuning. In: Proceedings of the 29th International Conference on Computational Linguistics, pp. 4336–4349. International Committee on Computational Linguistics, Gyeongju, Republic of Korea (2022)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Building a Dataset for Misinformation Detection in the Low-Resource Language;2024 IST-Africa Conference (IST-Africa);2024-05-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3