@inproceedings{pine-etal-2022-gi22pi,
title = "{G}$_i$2{P}$_i$ Rule-based, index-preserving grapheme-to-phoneme transformations",
author = "Pine, Aidan and
William Littell, Patrick and
Joanis, Eric and
Huggins-Daines, David and
Cox, Christopher and
Davis, Fineen and
Antonio Santos, Eddie and
Srikanth, Shankhalika and
Torkornoo, Delasie and
Yu, Sabrina",
editor = "Moeller, Sarah and
Anastasopoulos, Antonios and
Arppe, Antti and
Chaudhary, Aditi and
Harrigan, Atticus and
Holden, Josh and
Lachler, Jordan and
Palmer, Alexis and
Rijhwani, Shruti and
Schwartz, Lane",
booktitle = "Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.computel-1.7",
doi = "10.18653/v1/2022.computel-1.7",
pages = "52--60",
abstract = "This paper describes the motivation and implementation details for a rule-based, index-preserving grapheme-to-phoneme engine {`}G$_i$2P$_i$' implemented in pure Python and released under the open source MIT license. The engine and interface have been designed to prioritize the developer experience of potential contributors without requiring a high level of programming knowledge. {`}G$_i$2P$_i$' already provides mappings for 30 (mostly Indigenous) languages, and the package is accompanied by a web-based interactive development environment, a RESTful API, and extensive documentation to encourage the addition of more mappings in the future. We also present three downstream applications of {`}G$_i$2P$_i$' and show results of a preliminary evaluation.",
}
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<abstract>This paper describes the motivation and implementation details for a rule-based, index-preserving grapheme-to-phoneme engine ‘G_i2P_i’ implemented in pure Python and released under the open source MIT license. The engine and interface have been designed to prioritize the developer experience of potential contributors without requiring a high level of programming knowledge. ‘G_i2P_i’ already provides mappings for 30 (mostly Indigenous) languages, and the package is accompanied by a web-based interactive development environment, a RESTful API, and extensive documentation to encourage the addition of more mappings in the future. We also present three downstream applications of ‘G_i2P_i’ and show results of a preliminary evaluation.</abstract>
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%0 Conference Proceedings
%T G_i2P_i Rule-based, index-preserving grapheme-to-phoneme transformations
%A Pine, Aidan
%A William Littell, Patrick
%A Joanis, Eric
%A Huggins-Daines, David
%A Cox, Christopher
%A Davis, Fineen
%A Antonio Santos, Eddie
%A Srikanth, Shankhalika
%A Torkornoo, Delasie
%A Yu, Sabrina
%Y Moeller, Sarah
%Y Anastasopoulos, Antonios
%Y Arppe, Antti
%Y Chaudhary, Aditi
%Y Harrigan, Atticus
%Y Holden, Josh
%Y Lachler, Jordan
%Y Palmer, Alexis
%Y Rijhwani, Shruti
%Y Schwartz, Lane
%S Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F pine-etal-2022-gi22pi
%X This paper describes the motivation and implementation details for a rule-based, index-preserving grapheme-to-phoneme engine ‘G_i2P_i’ implemented in pure Python and released under the open source MIT license. The engine and interface have been designed to prioritize the developer experience of potential contributors without requiring a high level of programming knowledge. ‘G_i2P_i’ already provides mappings for 30 (mostly Indigenous) languages, and the package is accompanied by a web-based interactive development environment, a RESTful API, and extensive documentation to encourage the addition of more mappings in the future. We also present three downstream applications of ‘G_i2P_i’ and show results of a preliminary evaluation.
%R 10.18653/v1/2022.computel-1.7
%U https://aclanthology.org/2022.computel-1.7
%U https://doi.org/10.18653/v1/2022.computel-1.7
%P 52-60
Markdown (Informal)
[Gi2Pi Rule-based, index-preserving grapheme-to-phoneme transformations](https://aclanthology.org/2022.computel-1.7) (Pine et al., ComputEL 2022)
ACL
- Aidan Pine, Patrick William Littell, Eric Joanis, David Huggins-Daines, Christopher Cox, Fineen Davis, Eddie Antonio Santos, Shankhalika Srikanth, Delasie Torkornoo, and Sabrina Yu. 2022. Gi2Pi Rule-based, index-preserving grapheme-to-phoneme transformations. In Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 52–60, Dublin, Ireland. Association for Computational Linguistics.