@inproceedings{harrigan-arppe-2021-leveraging,
    title = "Leveraging {E}nglish Word Embeddings for Semi-Automatic Semantic Classification in N{\^e}hiyaw{\^e}win ({P}lains {C}ree)",
    author = "Harrigan, Atticus  and
      Arppe, Antti",
    editor = "Mager, Manuel  and
      Oncevay, Arturo  and
      Rios, Annette  and
      Ruiz, Ivan Vladimir Meza  and
      Palmer, Alexis  and
      Neubig, Graham  and
      Kann, Katharina",
    booktitle = "Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.americasnlp-1.12/",
    doi = "10.18653/v1/2021.americasnlp-1.12",
    pages = "113--121",
    abstract = "This paper details a semi-automatic method of word clustering for the Algonquian language, N{\^e}hiyaw{\^e}win (Plains Cree). Although this method worked well, particularly for nouns, it required some amount of manual postprocessing. The main benefit of this approach over implementing an existing classification ontology is that this method approaches the language from an endogenous point of view, while performing classification quicker than in a fully manual context."
}