Fr-word to phonemic pronunciation
This model aims at predicting the syllabized phonemic pronunciation of the French words.
The generated pronunciation is:
- A text string made of International Phonetic Alphabet (IPA) characters;
- Phonemic (i.e. remains at the phoneme-level, not deeper);
- Syllabized (i.e. characters '.' and '‿' are used to identify syllabes).
Such pronunciation is used in the French Wiktionary in the {{pron|...|fr}} tag.
To use this model, simply give an input containing the word that you want to translate followed by ":", for example: "bonjour:". It will generate its predicted pronunciation, for example "bɔ̃.ʒuʁ".
This model remains experimental. Additional finetuning is needed for:
The input length is currently limited to a maximum of 60 letters.
This work is derived from the OTEANN paper and code, which used minGTP.
More information on the model, dataset, hardware, environmental consideration:
The training data
The dataset used for training this models comes from data of the French Wiktionary.
The model
The model is build on gpt2
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