> For the complete documentation index, see [llms.txt](https://ai4commsci.gitbook.io/formosanbank/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai4commsci.gitbook.io/formosanbank/zh/qi-ta-zi-yuan/chu-ban-wu.md).

# 出版物

FormosanBank 的主要目標之一是提供全方位的語料，促進研究人員對臺灣南島語的研究工作。在此，提供我們利用 FormosanBank 語料所進行的研究成果。

* Le Ferrand, É., Hauser, C. M. B., Hartshorne, J., & Prud’hommeaux, E. (2025). [Faithful transcription: Leveraging Bible recordings to improve ASR for endangered languages](https://aclanthology.org/2025.ijcnlp-short.28/). In *Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*, 333–342.
* Le Ferrand, É., Jiang, B., Hartshorne, J., & Prud’hommeaux, E. (2025). [That doesn’t sound right: Evaluating speech transcription quality in field linguistics corpora](https://aclanthology.org/2025.acl-short.49/). In *Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*, 627–635.
* Scheppat, H., Hartshorne, J., Leddy, D., Le Ferrand, E., & Prudhommeaux, E. (2025). [Integrating diverse corpora for training an endangered language machine translation system](https://aclanthology.org/2025.computel-main.19/). In *Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-8)*, 162–169.
* Tall, O., Le Ferrand, É., Hartshorne, J., & Prud'hommeaux, E. (2024). Reclaiming Archival Texts with User-Friendly OCR. Poster presented at the *9th International Conference on Language Documentation & Conservation (ICLDC9)*, Miami, Florida.
* Eric Le Ferrand, Zoey Liu, Antti Arppe, and Emily Prud'hommeaux. (2024). [Are modern neural ASR architectures robust for polysynthetic languages?](https://aclanthology.org/2024.findings-emnlp.166/). In *Findings of the Association for Computational Linguistics: EMNLP 2024*, pages 2953–2963, Miami, Florida, USA. Association for Computational Linguistics.