Abstract

Conor Snoek, Dorothy Thunder, Kaidi Lõo, Antti Arppe, Jordan Lachler, Sjur Moshagen, Trond Trosterud. Proceedings of the 2014 Workshop on the Use of Computational Methods in the Study of Endangered Languages. 2014.

Highlights

  • The Department of Linguistics at the University of Alberta has a long tradition of working with First Nations communities in Alberta and beyond

  • While we are working to develop a complete finite-state model of Plains Cree morphology, we focus on nominal morphology in this paper

  • The finite state transducer technology that forms the backbone of our morphological model, and of all the language applications we are currently developing, is based historically on work on computational modeling of natural languages known as two-level morphology (TWOL) by Koskenniemi (1983)

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Summary

Introduction

A collaboration has begun with Giellatekno, a research institute at the University of Tromsø, which has specialized in creating language technologies, for the indigenous Saami languages of Scandinavia, and for other languages that have received less attention from the computational linguistic mainstream. This collaboration is currently focusing on developing computational tools for promoting and supporting literacy, language learning and language teaching. In the first section we briefly describe Plains Cree nominal morphology and give some background on the language This is followed by details on the model and its implementation. We conclude with some comments on the benefits of this technology to language revitalization efforts

Plains Cree
Previous computational modeling of Algonquian languages
Modeling Plains Cree morphology
The necessity for fieldwork in modeling Plains Cree
Applications in language teaching and revitalization
Conclusion
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