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2022 ACL ACL 2022

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

Abstract

AbstractWe 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.

🧭 Keyword Pioneer — image-based text
🐣 Hot Topic Early Bird — endangered language
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

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

Topics

Data Science & Analytics > Methods > Data Mining

Keywords

endangered language language preservation phonetic annotation multimodal text image-based text
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