Working Towards Digital Documentation of Uralic Languages With Open-Source Tools and Modern NLP Methods

Mika Hämäläinen, Jack Rueter, Khalid Alnajjar, Niko Partanen


Abstract
We present our work towards building an infrastructure for documenting endangered languages with the focus on Uralic languages in particular. Our infrastructure consists of tools to write dictionaries so that entries are structured in XML format. These dictionaries are the foundation for rule-based NLP tools such as FSTs. We also work actively towards enhancing these dictionaries and tools by using the latest state-of-the-art neural models by generating training data through rules and lexica
Anthology ID:
2023.bigpicture-1.2
Volume:
Proceedings of the Big Picture Workshop
Month:
December
Year:
2023
Address:
Singapore
Editors:
Yanai Elazar, Allyson Ettinger, Nora Kassner, Sebastian Ruder, Noah A. Smith
Venue:
BigPicture
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
18–27
Language:
URL:
https://aclanthology.org/2023.bigpicture-1.2
DOI:
10.18653/v1/2023.bigpicture-1.2
Bibkey:
Cite (ACL):
Mika Hämäläinen, Jack Rueter, Khalid Alnajjar, and Niko Partanen. 2023. Working Towards Digital Documentation of Uralic Languages With Open-Source Tools and Modern NLP Methods. In Proceedings of the Big Picture Workshop, pages 18–27, Singapore. Association for Computational Linguistics.
Cite (Informal):
Working Towards Digital Documentation of Uralic Languages With Open-Source Tools and Modern NLP Methods (Hämäläinen et al., BigPicture 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/2023.bigpicture-1.2.pdf