Belinda Chiera


2022

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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

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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Using public domain resources and off-the-shelf tools to produce high-quality multimedia texts
Manny Rayner | Belinda Chiera | Cathy Chua
Proceedings of the The 20th Annual Workshop of the Australasian Language Technology Association