Comments (1)
You are correct that almost all Epitran modules do not use any machine learning—they are purely rule-based. The exception is English, which uses the WFST-based G2P engine from the Flite speech synthesis system (which is trained on a pronouncing dictionary). In principle, Flite could be used to support other languages for which freely available pronouncing dictionaries are available.
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Related Issues (20)
- TL;DR if you have troubles pipping epitran, try pip install marisa-trie first
- Possibility of using regex for generating geminates HOT 2
- Stress and syllables splitting HOT 1
- FileNotFoundError for code 'cmn-Latn' HOT 3
- Many Chinese words are not transcribed by cmn-Hans/cmn-Hant
- import epitran shows an error HOT 10
- Not able to pip install problem with building Edit Distance HOT 1
- Portuguese dictionary is missing entry for õe
- Loading mapping files from other locations HOT 1
- Greek transliteration
- Issue with Nasal Vowels HOT 1
- Speeding up mapping with HuggingFace datasets HOT 4
- Portuguese digraphs
- Handing of hetronyms
- Problem with 'fra-Latn' for some words HOT 2
- Regex error HOT 1
- Extraneous unicode character in Kazakh HOT 3
- Punjabi 2 diacritic symbols separated from associated character HOT 2
- Errors when instantiating using certain codes HOT 4
- Best way to get a delimited transliteration with XSampa HOT 6
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