@inproceedings{elsaadany-suter-2020-grapheme,
    title = "Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model",
    author = "ElSaadany, Omnia  and
      Suter, Benjamin",
    editor = "Nicolai, Garrett  and
      Gorman, Kyle  and
      Cotterell, Ryan",
    booktitle = "Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.sigmorphon-1.7/",
    doi = "10.18653/v1/2020.sigmorphon-1.7",
    pages = "85--89",
    abstract = "In this paper, we describe our three submissions to the SIGMORPHON 2020 shared task 1 on grapheme-to-phoneme conversion for 15 languages. We experimented with a single multilingual transformer model. We observed that the multilingual model achieves results on par with our separately trained monolingual models and is even able to avoid a few of the errors made by the monolingual models."
}