@inproceedings{60589db4dab04c8e889fa9f21b3a6f30,
title = "Data augmentation for low-resource grapheme-to-phoneme mapping",
abstract = "In this paper we explore a very simple neural approach to mapping orthography to phonetic transcription in a low-resource context. The basic idea is to start from a baseline system and focus all efforts on data augmentation. We will see that some techniques work, but others do not.",
author = "Michael Hammond",
note = "Publisher Copyright: {\textcopyright} 2021 The Association for Computational Linguistics and The Asian Federation of Natural Language Processing.; 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, SIGMORPHON 2021 ; Conference date: 05-08-2021",
year = "2021",
language = "English (US)",
series = "SIGMORPHON 2021 - 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "126--130",
editor = "Garrett Nicolai and Kyle Gorman and Ryan Cotterell",
booktitle = "SIGMORPHON 2021 - 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Proceedings of the Workshop",
}