@inproceedings{le-sadat-2021-towards,
    title = "Towards a First Automatic Unsupervised Morphological Segmentation for {I}nuinnaqtun",
    author = "Le, Ngoc Tan  and
      Sadat, Fatiha",
    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-1.17/",
    doi = "10.18653/v1/2021.americasnlp-1.17",
    pages = "159--162",
    abstract = "Low-resource polysynthetic languages pose many challenges in NLP tasks, such as morphological analysis and Machine Translation, due to available resources and tools, and the morphologically complex languages. This research focuses on the morphological segmentation while adapting an unsupervised approach based on Adaptor Grammars in low-resource setting. Experiments and evaluations on Inuinnaqtun, one of Inuit language family in Northern Canada, considered a language that will be extinct in less than two generations, have shown promising results."
}