Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data

Maxim Ionov, Natalia Patiño Mazzotti


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
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
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Publisher:
Association for Computational Linguistics
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Pages:
279–284
Language:
URL:
https://preview.aclanthology.org/landing_page/2025.law-1.23/
DOI:
10.18653/v1/2025.law-1.23
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/landing_page/2025.law-1.23.pdf