@inproceedings{gorman-etal-2020-sigmorphon,
    title = "The {SIGMORPHON} 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion",
    author = "Gorman, Kyle  and
      Ashby, Lucas F.E.  and
      Goyzueta, Aaron  and
      McCarthy, Arya  and
      Wu, Shijie  and
      You, Daniel",
    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://aclanthology.org/2020.sigmorphon-1.2",
    doi = "10.18653/v1/2020.sigmorphon-1.2",
    pages = "40--50",
    abstract = "We describe the design and findings of the SIGMORPHON 2020 shared task on multilingual grapheme-to-phoneme conversion. Participants were asked to submit systems which take in a sequence of graphemes in a given language as input, then output a sequence of phonemes representing the pronunciation of that grapheme sequence. Nine teams submitted a total of 23 systems, at best achieving a 18{\%} relative reduction in word error rate (macro-averaged over languages), versus strong neural sequence-to-sequence baselines. To facilitate error analysis, we publicly release the complete outputs for all systems{---}a first for the SIGMORPHON workshop.",
}