Abstract
This paper describes a curriculum for teaching linguists how to apply machine-in-the-loop (MitL) approach to documentary and descriptive tasks. It also shares observations about the learning participants, who are primarily non-computational linguists, and how they interact with the MitL approach. We found that they prefer cleaning over increasing the training data and then proceed to reanalyze their analytical decisions, before finally undertaking small actions that emphasize analytical strategies. Overall, participants display an understanding of the curriculum which covers fundamental concepts of machine learning and statistical modeling.- Anthology ID:
- 2024.computel-1.5
- Volume:
- Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Sarah Moeller, Godfred Agyapong, Antti Arppe, Aditi Chaudhary, Shruti Rijhwani, Christopher Cox, Ryan Henke, Alexis Palmer, Daisy Rosenblum, Lane Schwartz
- Venues:
- ComputEL | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 27–32
- Language:
- URL:
- https://aclanthology.org/2024.computel-1.5
- DOI:
- Cite (ACL):
- Sarah Moeller and Antti Arppe. 2024. Machine-in-the-Loop with Documentary and Descriptive Linguists. In Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 27–32, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- Machine-in-the-Loop with Documentary and Descriptive Linguists (Moeller & Arppe, ComputEL-WS 2024)
- PDF:
- https://preview.aclanthology.org/naacl24-info/2024.computel-1.5.pdf