@inproceedings{roberts-2024-investigating,
    title = "Investigating the productivity of Passamaquoddy medials: A computational approach",
    author = "Roberts, James",
    editor = "Moeller, Sarah  and
      Agyapong, Godfred  and
      Arppe, Antti  and
      Chaudhary, Aditi  and
      Rijhwani, Shruti  and
      Cox, Christopher  and
      Henke, Ryan  and
      Palmer, Alexis  and
      Rosenblum, Daisy  and
      Schwartz, Lane",
    booktitle = "Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.computel-1.3/",
    pages = "13--20",
    abstract = "Little is known about medials in Passamaquoddy, which appear to be involved in the construction of verb stems in the language. Investigating the productivity of such morphemes using traditional fieldwork methods is a difficult undertaking that can be made easier with computational methods. I first generated a list of possible verb stems using a simple Python script, then compared this list against Passamaquoddy text corpora to see how many of these tokens were attested. If a given medial is productive, we should expect to see it in a large portion of possible verb stems that include said medial. If this assumption is correct, the corpora analysis will be a key indicator in determining the productivity of individual medials."
}