@inproceedings{ashby-etal-2021-results,
title = "Results of the Second {SIGMORPHON} Shared Task on Multilingual Grapheme-to-Phoneme Conversion",
author = "Ashby, Lucas F.E. and
Bartley, Travis M. and
Clematide, Simon and
Del Signore, Luca and
Gibson, Cameron and
Gorman, Kyle and
Lee-Sikka, Yeonju and
Makarov, Peter and
Malanoski, Aidan and
Miller, Sean and
Ortiz, Omar and
Raff, Reuben and
Sengupta, Arundhati and
Seo, Bora and
Spektor, Yulia and
Yan, Winnie",
editor = "Nicolai, Garrett and
Gorman, Kyle and
Cotterell, Ryan",
booktitle = "Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.sigmorphon-1.13",
doi = "10.18653/v1/2021.sigmorphon-1.13",
pages = "115--125",
abstract = "Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion features many improvements from the previous year{'}s task (Gorman et al. 2020), including additional languages, a stronger baseline, three subtasks varying the amount of available resources, extensive quality assurance procedures, and automated error analyses. Four teams submitted a total of thirteen systems, at best achieving relative reductions of word error rate of 11{\%} in the high-resource subtask and 4{\%} in the low-resource subtask.",
}
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<abstract>Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion features many improvements from the previous year’s task (Gorman et al. 2020), including additional languages, a stronger baseline, three subtasks varying the amount of available resources, extensive quality assurance procedures, and automated error analyses. Four teams submitted a total of thirteen systems, at best achieving relative reductions of word error rate of 11% in the high-resource subtask and 4% in the low-resource subtask.</abstract>
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%0 Conference Proceedings
%T Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion
%A Ashby, Lucas F.E.
%A Bartley, Travis M.
%A Clematide, Simon
%A Del Signore, Luca
%A Gibson, Cameron
%A Gorman, Kyle
%A Lee-Sikka, Yeonju
%A Makarov, Peter
%A Malanoski, Aidan
%A Miller, Sean
%A Ortiz, Omar
%A Raff, Reuben
%A Sengupta, Arundhati
%A Seo, Bora
%A Spektor, Yulia
%A Yan, Winnie
%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 ashby-etal-2021-results
%X Grapheme-to-phoneme conversion is an important component in many speech technologies, but until recently there were no multilingual benchmarks for this task. The second iteration of the SIGMORPHON shared task on multilingual grapheme-to-phoneme conversion features many improvements from the previous year’s task (Gorman et al. 2020), including additional languages, a stronger baseline, three subtasks varying the amount of available resources, extensive quality assurance procedures, and automated error analyses. Four teams submitted a total of thirteen systems, at best achieving relative reductions of word error rate of 11% in the high-resource subtask and 4% in the low-resource subtask.
%R 10.18653/v1/2021.sigmorphon-1.13
%U https://aclanthology.org/2021.sigmorphon-1.13
%U https://doi.org/10.18653/v1/2021.sigmorphon-1.13
%P 115-125
Markdown (Informal)
[Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion](https://aclanthology.org/2021.sigmorphon-1.13) (Ashby et al., SIGMORPHON 2021)
ACL
- Lucas F.E. Ashby, Travis M. Bartley, Simon Clematide, Luca Del Signore, Cameron Gibson, Kyle Gorman, Yeonju Lee-Sikka, Peter Makarov, Aidan Malanoski, Sean Miller, Omar Ortiz, Reuben Raff, Arundhati Sengupta, Bora Seo, Yulia Spektor, and Winnie Yan. 2021. Results of the Second SIGMORPHON Shared Task on Multilingual Grapheme-to-Phoneme Conversion. In Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 115–125, Online. Association for Computational Linguistics.