Data augmentation for low-resource grapheme-to-phoneme mapping

ACL (SIGMORPHON) 2021 · Michael Hammond ·

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.

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Data Augmentation

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Data augmentation for low-resource grapheme-to-phoneme mapping

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