Grapheme-to-Phoneme Conversion with a Multilingual Transformer Model
Omnia ElSaadany, Benjamin Suter
Abstract
In this paper, we describe our three submissions to the SIGMORPHON 2020 shared task 1 on grapheme-to-phoneme conversion for 15 languages. We experimented with a single multilingual transformer model. We observed that the multilingual model achieves results on par with our separately trained monolingual models and is even able to avoid a few of the errors made by the monolingual models.- Anthology ID:
- 2020.sigmorphon-1.7
- Volume:
- Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Venues:
- ACL | SIGMORPHON | WS
- SIG:
- SIGMORPHON
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 85–89
- URL:
- https://www.aclweb.org/anthology/2020.sigmorphon-1.7
- DOI:
- PDF:
- https://www.aclweb.org/anthology/2020.sigmorphon-1.7.pdf
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