Cree Corpus: A Collection of nêhiyawêwin Resources
Daniela Teodorescu, Josie Matalski, Delaney Lothian, Denilson Barbosa, Carrie Demmans Epp
Abstract
Plains Cree (nêhiyawêwin) is an Indigenous language that is spoken in Canada and the USA. It is the most widely spoken dialect of Cree and a morphologically complex language that is polysynthetic, highly inflective, and agglutinative. It is an extremely low resource language, with no existing corpus that is both available and prepared for supporting the development of language technologies. To support nêhiyawêwin revitalization and preservation, we developed a corpus covering diverse genres, time periods, and texts for a variety of intended audiences. The data has been verified and cleaned; it is ready for use in developing language technologies for nêhiyawêwin. The corpus includes the corresponding English phrases or audio files where available. We demonstrate the utility of the corpus through its community use and its use to build language technologies that can provide the types of support that community members have expressed are desirable. The corpus is available for public use 1 .
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers2
- When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesTyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben BergenEMNLP 2024 · 12 citations
- MC²: Towards Transparent and Culturally-Aware NLP for Minority Languages in ChinaChen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin et al.ACL 2024
Related papers
- Interactive Word Completion for Plains CreeWilliam Lane, Atticus Harrigan, Antti ArppeACL 2022 · 3 citations
- Not always about you: Prioritizing community needs when developing endangered language technologyZoey Liu, Crystal Richardson, Richard J. Hatcher, Emily Prud'hommeauxACL 2022 · 36 citations
- Local Word Discovery for Interactive TranscriptionWilliam Lane, Steven BirdEMNLP 2021
- Building a User-Generated Content North-African Arabizi Treebank: Tackling HellDjamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral et al.ACL 2020 · 38 citations
- BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and ResourcesRaghvendra Kumar, Devankar Raj, Sriparna SahaACL 2026
