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

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

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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.
Original languageEnglish
Title of host publicationProceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Place of PublicationStroudsburg, Pennsylvania
PublisherAssociation for Computational Linguistics (ACL)
Pages68-77
Number of pages10
ISBN (Electronic)9781955917308
DOIs
Publication statusPublished - May 2022
EventFifth Workshop on the Use of Computational Methods in the Study of Endangered Languages: Language Diversity: from Low-Resource to Endangered Languages - Dublin, Ireland
Duration: 26 May 202227 May 2022
Conference number: 5th
https://aclanthology.org/volumes/2022.computel-1/

Conference

ConferenceFifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Abbreviated titleCOMPUTEL-5 2022
Country/TerritoryIreland
CityDublin
Period26/05/2227/05/22
Internet address

Keywords

  • Learning And Reading Assistant (LARA)
  • Endangered languages

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