Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages

Branislav Bédi, Hakeem Beedar, Belinda Chiera, Nedelina Ivanova, Christèle Maizonniaux, Neasa Ní Chiaráin, Manny Rayner, John Sloan, Ghil’ad Zuckermann


Abstract
We describe recent extensions to the open source Learning And Reading Assistant (LARA) supporting image-based and phonetically annotated texts. We motivate the utility of these extensions both in general and specifically in relation to endangered and archaic languages, and illustrate with examples from the revived Australian language Barngarla, Icelandic Sign Language, Irish Gaelic, Old Norse manuscripts and Egyptian hieroglyphics.
Anthology ID:
2022.computel-1.9
Volume:
Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Month:
May
Year:
2022
Address:
Dublin, Ireland
Editors:
Sarah Moeller, Antonios Anastasopoulos, Antti Arppe, Aditi Chaudhary, Atticus Harrigan, Josh Holden, Jordan Lachler, Alexis Palmer, Shruti Rijhwani, Lane Schwartz
Venue:
ComputEL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
68–77
Language:
URL:
https://aclanthology.org/2022.computel-1.9
DOI:
10.18653/v1/2022.computel-1.9
Bibkey:
Cite (ACL):
Branislav Bédi, Hakeem Beedar, Belinda Chiera, Nedelina Ivanova, Christèle Maizonniaux, Neasa Ní Chiaráin, Manny Rayner, John Sloan, and Ghil’ad Zuckermann. 2022. Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages. In Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 68–77, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages (Bédi et al., ComputEL 2022)
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PDF:
https://aclanthology.org/2022.computel-1.9.pdf
Video:
 https://aclanthology.org/2022.computel-1.9.mp4