Abstract
In this paper, we identify types of uncertainty in interlinear glossed text (IGT) annotation, a common notation for language data in linguistic research.- Anthology ID:
- 2025.law-1.23
- Original:
- 2025.law-1.23v1
- Version 2:
- 2025.law-1.23v2
- Volume:
- Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
- Month:
- July
- Year:
- 2025
- Address:
- Vienna, Austria
- Editors:
- Siyao Peng, Ines Rehbein
- Venues:
- LAW | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 279–284
- Language:
- URL:
- https://preview.aclanthology.org/more-markup/2025.law-1.23/
- DOI:
- 10.18653/v1/2025.law-1.23
- Cite (ACL):
- Maxim Ionov and Natalia Patiño Mazzotti. 2025. Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data. In Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025), pages 279–284, Vienna, Austria. Association for Computational Linguistics.
- Cite (Informal):
- Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data (Ionov & Patiño Mazzotti, LAW 2025)
- PDF:
- https://preview.aclanthology.org/more-markup/2025.law-1.23.pdf