@inproceedings{canby-etal-2020-university,
    title = "{U}niversity of {I}llinois Submission to the {SIGMORPHON} 2020 Shared Task 0: Typologically Diverse Morphological Inflection",
    author = "Canby, Marc E.  and
      Karipbayeva, Aidana  and
      Lunt, Bryan J.  and
      Mozaffari, Sahand  and
      Yoder, Charlotte R.  and
      Hockenmaier, Julia",
    editor = "Nicolai, Garrett  and
      Gorman, Kyle  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2026-05/2020.sigmorphon-1.15/",
    doi = "10.18653/v1/2020.sigmorphon-1.15",
    pages = "137--145",
    abstract = "The objective of this shared task is to produce an inflected form of a word, given its lemma and a set of tags describing the attributes of the desired form. In this paper, we describe a transformer-based model that uses a bidirectional decoder to perform this task, and evaluate its performance on the 90 languages and 18 language families used in this task."
}