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

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

Annual Meeting of the Association for Computational Linguistics (ACL), 2022

25 April 2022

Joey Tianyi Zhou

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

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Title
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms Xiaojun Bi Shuo Li Liang Luo Ziyue Wang Fuwen Luo Weizheng Qiao Lu Han Ziwei Sun Peng Li Yang Liu 899 2 0 05 Mar 2025
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and ParticipationConference on Fairness, Accountability and Transparency (FAccT), 2025 Ben Hutchinson Celeste Rodríguez Louro Glenys Collard Ned Cooper 375 0 0 05 Mar 2025
Lost in Translation: Large Language Models in Non-English Content Analysis Gabriel Nicholas Aliya Bhatia ELM 233 51 0 12 Jun 2023
Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction Manuel Mager Rajat Bhatnagar Graham Neubig Ngoc Thang Vu Katharina Kann 154 14 0 11 Jun 2023
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the SpeakersAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Manuel Mager Elisabeth Mager Katharina Kann Ngoc Thang Vu 179 34 0 31 May 2023
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 114 10 0 09 Feb 2023
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT ModelsConference on Machine Translation (WMT), 2022 Harshita Diddee Sandipan Dandapat Monojit Choudhury T. Ganu Kalika Bali 178 7 0 27 Oct 2022