@inproceedings{e6b449e115b04a939b9f0531632b1ab8,
title = "Morphological reinflection with weighted finite-state transducers",
abstract = "This paper describes the submission by the University of Arizona to the SIGMORPHON 2023 Shared Task on typologically diverse morphological (re-)infection. In our submission, we investigate the role of frequency, length, and weighted transducers in addressing the challenge of morphological reinflection. We start with the non-neural baseline provided for the task and show how some improvement can be gained by integrating length and frequency in prefix selection. We also investigate using weighted finite-state transducers, jump-started from edit distance and directly augmented with frequency. Our specific technique is promising and quite simple, but we see only modest improvements for some languages here.",
author = "Alice Kwak and Michael Hammond and Cheyenne Wing",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 20th SIGMORPHON Workshop on Computational Morphology, Phonology, and Phonetics, CMPP 2023, as part of ACL 2023 ; Conference date: 14-07-2023",
year = "2023",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "132--137",
editor = "Garrett Nicolai and Eleanor Chodroff and Cagri Coltekin and Fred Mailhot",
booktitle = "ACL 2023 - 20th SIGMORPHON Workshop on Computational Morphology, Phonology, and Phonetics, CMPP 2023",
}