@inproceedings{elsner-court-2022-osu,
    title = "{OSU} at {S}ig{M}orphon 2022: Analogical Inflection With Rule Features",
    author = "Elsner, Micha  and
      Court, Sara",
    editor = "Nicolai, Garrett  and
      Chodroff, Eleanor",
    booktitle = "Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jul,
    year = "2022",
    address = "Seattle, Washington",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.sigmorphon-1.22/",
    doi = "10.18653/v1/2022.sigmorphon-1.22",
    pages = "220--225",
    abstract = "OSU`s inflection system is a transformer whose input is augmented with an analogical exemplar showing how to inflect a different word into the target cell. In addition, alignment-based heuristic features indicate how well the exemplar is likely to match the output. OSU`s scores substantially improve over the baseline transformer for instances where an exemplar is available, though not quite matching the challenge winner. In Part 2, the system shows a tendency to over-apply the majority pattern in English, but not Arabic."
}