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Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi

2020-04-22ACL 2020Code Available1· sign in to hype

Aryaman Arora, Luke Gessler, Nathan Schneider

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Abstract

Hindi grapheme-to-phoneme (G2P) conversion is mostly trivial, with one exception: whether a schwa represented in the orthography is pronounced or unpronounced (deleted). Previous work has attempted to predict schwa deletion in a rule-based fashion using prosodic or phonetic analysis. We present the first statistical schwa deletion classifier for Hindi, which relies solely on the orthography as the input and outperforms previous approaches. We trained our model on a newly-compiled pronunciation lexicon extracted from various online dictionaries. Our best Hindi model achieves state of the art performance, and also achieves good performance on a closely related language, Punjabi, without modification.

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