@inproceedings{lane-bird-2022-finite,
    title = "A Finite State Aproach to Interactive Transcription",
    author = "Lane, William  and
      Bird, Steven",
    editor = "Serikov, Oleg  and
      Voloshina, Ekaterina  and
      Postnikova, Anna  and
      Klyachko, Elena  and
      Neminova, Ekaterina  and
      Vylomova, Ekaterina  and
      Shavrina, Tatiana  and
      Ferrand, Eric Le  and
      Malykh, Valentin  and
      Tyers, Francis  and
      Arkhangelskiy, Timofey  and
      Mikhailov, Vladislav  and
      Fenogenova, Alena",
    booktitle = "Proceedings of the First Workshop on NLP applications to field linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Conference on Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.fieldmatters-1.1/",
    pages = "1--10",
    abstract = "We describe a novel approach to transcribing morphologically complex, local, oral languages. The approach connects with local motivations for participating in language work which center on language learning, accessing the content of audio collections, and applying this knowledge in language revitalization and maintenance. We develop a constraint-based approach to interactive word completion, expressed using Optimality Theoretic constraints, implemented in a finite state transducer, and applied to an Indigenous language. We show that this approach suggests correct full word predictions on 57.9{\%} of the test utterances, and correct partial word predictions on 67.5{\%} of the test utterances. In total, 87{\%} of the test utterances receive full or partial word suggestions which serve to guide the interactive transcription process."
}