This paper presents aspects of a computational model of the morphology of Plains Cree based on the technology of finite state transducers (FST). The paper focuses in particular on the modeling of nominal morphology. Plains Cree is a polysynthetic language whose nominal morphology relies on prefixes, suffixes and circumfixes. The model of Plains Cree morphology is capable of handling these complex affixation patterns and the morphophonological alternations that they engender. Plains Cree is an endangered Algonquian language spoken in numerous communities across Canada. The language has no agreed upon standard orthography, and exhibits widespread variation. We describe problems encountered and solutions found, while contextualizing the endeavor in the description, documentation and revitalization of First Nations Languages in Canada.

Intelligent computer assisted language learning (ICALL) applications for Indigenous languages are a relatively new avenue for computer assisted language learning (CALL). CALL allows language learners to practise a wide range of grammatical exercises and receive feedback on their answers outside of class time. ICALL is essential for dynamically producing these exercises for polysynthetic Indigenous languages with complex morphology. To better understand user perceptions and behaviours within an ICALL setting, an in-depth user evaluation of nêhiyawêtân (a university-level ICALL application for Plains Cree) was initiated. Five second language learners of Plains Cree were recorded using nêhiyawêtân as they completed various grammatical exercises. They were encouraged to report their opinions, thoughts, and observations aloud. Subsequently, observed user reactions and strategies were recorded. This supplied us with potential user errors, strategies, and preferences that allowed us to improve answer feedback and the design and interface of the exercise templates. Moreover, the results of surveys and observations highlighted sociocultural issues that are not seen in mainstream CALL for majority languages. We hope that this evaluation will serve as a guideline for evaluating future ICALL programs for Indigenous and other minority languages.

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