Massively Multilingual Pronunciation Modeling with WikiPron
Jackson L. Lee, Lucas F.E. Ashby, M. Elizabeth Garza, Yeonju Lee-Sikka, Sean Miller, Alan Wong, Arya D. McCarthy, Kyle Gorman
Abstract
We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary. We first describe the design and use of WikiPron. We then discuss the challenges faced scaling this tool to create an automatically-generated database of 1.7 million pronunciations from 165 languages. Finally, we validate the pronunciation database by using it to train and evaluating a collection of generic grapheme-to-phoneme models. The software, pronunciation data, and models are all made available under permissive open-source licenses.- Anthology ID:
- 2020.lrec-1.521
- Original:
- 2020.lrec-1.521v1
- Version 2:
- 2020.lrec-1.521v2
- Volume:
- Proceedings of the Twelfth Language Resources and Evaluation Conference
- Month:
- May
- Year:
- 2020
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 4223–4228
- Language:
- English
- URL:
- https://aclanthology.org/2020.lrec-1.521
- DOI:
- Bibkey:
- Cite (ACL):
- Jackson L. Lee, Lucas F.E. Ashby, M. Elizabeth Garza, Yeonju Lee-Sikka, Sean Miller, Alan Wong, Arya D. McCarthy, and Kyle Gorman. 2020. Massively Multilingual Pronunciation Modeling with WikiPron. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4223–4228, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Massively Multilingual Pronunciation Modeling with WikiPron (Lee et al., LREC 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.lrec-1.521.pdf
Export citation
@inproceedings{lee-etal-2020-massively,
title = "Massively Multilingual Pronunciation Modeling with {W}iki{P}ron",
author = "Lee, Jackson L. and
Ashby, Lucas F.E. and
Garza, M. Elizabeth and
Lee-Sikka, Yeonju and
Miller, Sean and
Wong, Alan and
McCarthy, Arya D. and
Gorman, Kyle",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.521",
pages = "4223--4228",
abstract = "We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary. We first describe the design and use of WikiPron. We then discuss the challenges faced scaling this tool to create an automatically-generated database of 1.7 million pronunciations from 165 languages. Finally, we validate the pronunciation database by using it to train and evaluating a collection of generic grapheme-to-phoneme models. The software, pronunciation data, and models are all made available under permissive open-source licenses.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings %T Massively Multilingual Pronunciation Modeling with WikiPron %A Lee, Jackson L. %A Ashby, Lucas F.E. %A Garza, M. Elizabeth %A Lee-Sikka, Yeonju %A Miller, Sean %A Wong, Alan %A McCarthy, Arya D. %A Gorman, Kyle %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Twelfth Language Resources and Evaluation Conference %D 2020 %8 May %I European Language Resources Association %C Marseille, France %@ 979-10-95546-34-4 %G English %F lee-etal-2020-massively %X We introduce WikiPron, an open-source command-line tool for extracting pronunciation data from Wiktionary, a collaborative multilingual online dictionary. We first describe the design and use of WikiPron. We then discuss the challenges faced scaling this tool to create an automatically-generated database of 1.7 million pronunciations from 165 languages. Finally, we validate the pronunciation database by using it to train and evaluating a collection of generic grapheme-to-phoneme models. The software, pronunciation data, and models are all made available under permissive open-source licenses. %U https://aclanthology.org/2020.lrec-1.521 %P 4223-4228
Markdown (Informal)
[Massively Multilingual Pronunciation Modeling with WikiPron](https://aclanthology.org/2020.lrec-1.521) (Lee et al., LREC 2020)
- Massively Multilingual Pronunciation Modeling with WikiPron (Lee et al., LREC 2020)
ACL
- Jackson L. Lee, Lucas F.E. Ashby, M. Elizabeth Garza, Yeonju Lee-Sikka, Sean Miller, Alan Wong, Arya D. McCarthy, and Kyle Gorman. 2020. Massively Multilingual Pronunciation Modeling with WikiPron. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4223–4228, Marseille, France. European Language Resources Association.