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    <abstract>We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad’s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.</abstract>
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%0 Conference Proceedings
%T Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction
%A Gautam, Vagrant
%A Li, Wang Yau
%A Mahmood, Zafarullah
%A Mailhot, Fred
%A Nadig, Shreekantha
%A Wang, Riqiang
%A Zhang, Nathan
%Y Nicolai, Garrett
%Y Gorman, Kyle
%Y Cotterell, Ryan
%S Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F gautam-etal-2021-avengers
%X We describe three baseline beating systems for the high-resource English-only sub-task of the SIGMORPHON 2021 Shared Task 1: a small ensemble that Dialpad’s speech recognition team uses internally, a well-known off-the-shelf model, and a larger ensemble model comprising these and others. We additionally discuss the challenges related to the provided data, along with the processing steps we took.
%R 10.18653/v1/2021.sigmorphon-1.16
%U https://aclanthology.org/2021.sigmorphon-1.16
%U https://doi.org/10.18653/v1/2021.sigmorphon-1.16
%P 141-147

Markdown (Informal)

[Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction](https://aclanthology.org/2021.sigmorphon-1.16) (Gautam et al., SIGMORPHON 2021)

• Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction (Gautam et al., SIGMORPHON 2021)

ACL

• Vagrant Gautam, Wang Yau Li, Zafarullah Mahmood, Fred Mailhot, Shreekantha Nadig, Riqiang Wang, and Nathan Zhang. 2021. Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 141–147, Online. Association for Computational Linguistics.