@inproceedings{bedi-etal-2022-using,
title = "Using {LARA} to create image-based and phonetically annotated multimodal texts for endangered languages",
author = "B{\'e}di, Branislav and
Beedar, Hakeem and
Chiera, Belinda and
Ivanova, Nedelina and
Maizonniaux, Christ{\`e}le and
N{\'\i} Chiar{\'a}in, Neasa and
Rayner, Manny and
Sloan, John and
Zuckermann, Ghil{'}ad",
editor = "Moeller, Sarah and
Anastasopoulos, Antonios and
Arppe, Antti and
Chaudhary, Aditi and
Harrigan, Atticus and
Holden, Josh and
Lachler, Jordan and
Palmer, Alexis and
Rijhwani, Shruti and
Schwartz, Lane",
booktitle = "Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.computel-1.9",
doi = "10.18653/v1/2022.computel-1.9",
pages = "68--77",
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.",
}
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%0 Conference Proceedings
%T Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages
%A Bédi, Branislav
%A Beedar, Hakeem
%A Chiera, Belinda
%A Ivanova, Nedelina
%A Maizonniaux, Christèle
%A Ní Chiaráin, Neasa
%A Rayner, Manny
%A Sloan, John
%A Zuckermann, Ghil’ad
%Y Moeller, Sarah
%Y Anastasopoulos, Antonios
%Y Arppe, Antti
%Y Chaudhary, Aditi
%Y Harrigan, Atticus
%Y Holden, Josh
%Y Lachler, Jordan
%Y Palmer, Alexis
%Y Rijhwani, Shruti
%Y Schwartz, Lane
%S Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F bedi-etal-2022-using
%X 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.
%R 10.18653/v1/2022.computel-1.9
%U https://aclanthology.org/2022.computel-1.9
%U https://doi.org/10.18653/v1/2022.computel-1.9
%P 68-77
Markdown (Informal)
[Using LARA to create image-based and phonetically annotated multimodal texts for endangered languages](https://aclanthology.org/2022.computel-1.9) (Bédi et al., ComputEL 2022)
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.