@inproceedings{pine-etal-2025-zero,
    title = "Zero-Shot Query Generation for Approximate Search Algorithm Evaluation",
    author = "Pine, Aidan  and
      Huggins-Daines, David  and
      Leeming, Carmen  and
      Littell, Patrick  and
      Montler, Timothy  and
      Souter, Heather  and
      Turin, Mark",
    editor = "Lachler, Jordan  and
      Agyapong, Godfred  and
      Arppe, Antti  and
      Moeller, Sarah  and
      Chaudhary, Aditi  and
      Rijhwani, Shruti  and
      Rosenblum, Daisy",
    booktitle = "Proceedings of the Eight Workshop on the Use of Computational Methods in the Study of Endangered Languages",
    month = mar,
    year = "2025",
    address = "Honolulu, Hawaii, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.computel-main.7/",
    pages = "65--73",
    ISBN = "None",
    abstract = "Approximate search is a valuable component of online dictionaries for learners, allowing them to find words even when they have not fully mastered the orthography or cannot reliably perceive phonemic differences in the language. However, evaluating the performance of different approximate search algorithms remains difficult in the absence of real user queries. We detail several methods for generating synthetic queries representing various user personas. We then compare the performance of several search algorithms on both real and synthetic queries in two Indigenous languages, SEN{\'C}O{\={T}}EN and Michif, that are phonologically and morphologically very different from English."
}