Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models (2022.naacl-main)
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| Challenge: | Grapheme-to-phoneme conversion is a task of converting grapheme sequences into phoneme sequence. |
| Approach: | They propose a Thai grapheme-to-phoneme conversion method that uses neural networks to predict the similarity between a candidate and the correct pronunciation. |
| Outcome: | The proposed method can be applied to other languages than Thai . it is comparable to encoder-decoder models in accuracy and accuracy, it shows . |
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