How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language

25 April 2022

Papers citing "How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language"

5 / 5 papers shown

Title
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms Xiaojun Bi Shuo Li Z. Wang Fuwen Luo Weizheng Qiao Lu Han Ziwei Sun Peng Li Yang Liu 108 0 0 05 Mar 2025
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation Ben Hutchinson Celeste Rodríguez Louro Glenys Collard Ned Cooper 57 0 0 05 Mar 2025
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions Nay San Martijn Bartelds Blaine Billings Ella de Falco Hendi Feriza Johan Safri Wawan Sahrozi Ben Foley Bradley McDonnell Dan Jurafsky 11 9 0 09 Feb 2023
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models Harshita Diddee Sandipan Dandapat Monojit Choudhury T. Ganu Kalika Bali 27 5 0 27 Oct 2022
Systematic Inequalities in Language Technology Performance across the World's Languages Damián E. Blasi Antonios Anastasopoulos Graham Neubig 111 131 0 13 Oct 2021