Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation

David R. Mortensen, Ela Gulsen, Taiqi He, Nathaniel Robinson, Jonathan Amith, Lindia Tjuatja, Lori Levin


Abstract
Interlinear glossing provides a vital type of morphosyntactic annotation, both for linguists and language revitalists, and numerous conventions exist for representing it formally and computationally. Some of these formats are human readable; others are machine readable. Some are easy to edit with general-purpose tools. Few represent non-concatentative processes like infixation, reduplication, mutation, truncation, and tonal overwriting in a consistent and formally rigorous way (on par with affixation). We propose an annotation convention—Generalized Glossing Guidelines (GGG) that combines all of these positive properties using an Item-and-Process (IP) framework. We describe the format, demonstrate its linguistic adequacy, and compare it with two other interlinear glossed text annotation schemes.
Anthology ID:
2023.sigmorphon-1.7
Volume:
Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology
Month:
July
Year:
2023
Address:
Toronto, Canada
Editors:
Garrett Nicolai, Eleanor Chodroff, Frederic Mailhot, Çağrı Çöltekin
Venue:
SIGMORPHON
SIG:
SIGMORPHON
Publisher:
Association for Computational Linguistics
Note:
Pages:
58–67
Language:
URL:
https://aclanthology.org/2023.sigmorphon-1.7
DOI:
10.18653/v1/2023.sigmorphon-1.7
Bibkey:
Cite (ACL):
David R. Mortensen, Ela Gulsen, Taiqi He, Nathaniel Robinson, Jonathan Amith, Lindia Tjuatja, and Lori Levin. 2023. Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation. In Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 58–67, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Generalized Glossing Guidelines: An Explicit, Human- and Machine-Readable, Item-and-Process Convention for Morphological Annotation (Mortensen et al., SIGMORPHON 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.sigmorphon-1.7.pdf