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

PROCEEDINGS OF THE FIFTH WORKSHOP ON THE USE OF COMPUTATIONAL METHODS IN THE STUDY OF ENDANGERED LANGUAGES (COMPUTEL-5 2022)（2022）

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摘要

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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