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--- |
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language: |
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- fr |
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thumbnail: "url to a thumbnail used in social sharing" |
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tags: |
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- text-generation |
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datasets: |
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- Marxav/frpron |
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metrics: |
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- loss/eval |
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- perplexity |
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widget: |
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- text: "bonjour:" |
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- text: "salut, comment ça va:" |
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- text: "Louis XIII:" |
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- text: "anticonstitutionnellement:" |
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- text: "les animaux:" |
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inference: |
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parameters: |
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temperature: 0.01 |
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return_full_text: True |
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--- |
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# Fr-word to phonemic pronunciation |
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This model aims at predicting the syllabized phonemic pronunciation of the French words. |
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The generated pronunciation is: |
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* A text string made of International Phonetic Alphabet (IPA) characters; |
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* Phonemic (i.e. remains at the phoneme-level, not deeper); |
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* Syllabized (i.e. characters '.' and '‿' are used to identify syllabes). |
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Such pronunciation is used in the [French Wiktionary](https://fr.wiktionary.org/) in the {{pron|...|fr}} tag. |
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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". |
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This model remains experimental. Additional finetuning is needed for: |
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* [Homographs with different pronunciations](https://fr.wiktionary.org/wiki/Catégorie:Homographes_non_homophones_en_français), |
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* [French liaisons](https://en.wikipedia.org/wiki/Liaison_(French)), |
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* [Roman numerals](https://en.wikipedia.org/wiki/Roman_numerals). |
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The input length is currently limited to a maximum of 60 letters. |
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This work is derived from the [OTEANN paper](https://aclanthology.org/2021.sigtyp-1.1/) and [code](https://github.com/marxav/oteann3), which used [minGTP](https://github.com/karpathy/minGPT). |
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## More information on the model, dataset, hardware, environmental consideration: |
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### **The training data** |
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The dataset used for training this models comes from data of the [French Wiktionary](https://fr.wiktionary.org/). |
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### **The model** |
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The model is build on [gpt2](https://huggingface.co/gpt2) |
