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- W3020341479 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." @default.
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- W3020341479 date "2020-04-22" @default.
- W3020341479 modified "2023-09-23" @default.
- W3020341479 title "Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi" @default.
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