[PDF] Learning from the computational modelling of Plains Cree verbs | Semantic Scholar

This study evaluates whether the use of semantically and morphosyntactically refined Word2Vec embeddings can improve the overall accuracy and quality of BiLSTM suggestions and shows that some models trained with the refined vectors provide semantically and morphosyntactically better suggestions.

This descriptive reference grammar of Nishnaabemwin (Odawa and Eastern Ojibwe) represents the most comprehensive works on an Algonquin language published to date and includes extensive descriptive treatment of phonology, orthography, inflectional morphology, derivational morphology and major structural and functional syntactic categories.