Add language tags
Hello. When this will be merged, we will be able to get full language together with it's label when detecting language, am I correct?
Hello. When this will be merged, we will be able to get full language together with it's label when detecting language, am I correct?
Hello,
This PR only modify the README.md .
The model has been trained to recognize 45 languages from short speech recordings. It does not handle machine translation. (if I have understood what you meant)
Best.
This PR lgtm.
Many thanks. 🙂
Hello. When this will be merged, we will be able to get full language together with it's label when detecting language, am I correct?
Hello,
This PR only modify the README.md .
The model has been trained to recognize 45 languages from short speech recordings. It does not handle machine translation. (if I have understood what you meant)
Best.
No... I meant that I want to be able to get short lang name, e.g. 'en': 'English', 'es': 'Spanish', etc.
Hello. When this will be merged, we will be able to get full language together with it's label when detecting language, am I correct?
Hello,
This PR only modify the README.md .
The model has been trained to recognize 45 languages from short speech recordings. It does not handle machine translation. (if I have understood what you meant)
Best.
No... I meant that I want to be able to get short lang name, e.g. 'en': 'English', 'es': 'Spanish', etc.
Hello,
No. You will need to parse it yourself. You can create a dict of association {"English":"en", ...} or you can modify the file label_encoder.txt that you will get when loading the model.
Best.
Hello. When this will be merged, we will be able to get full language together with it's label when detecting language, am I correct?
Hello,
This PR only modify the README.md .
The model has been trained to recognize 45 languages from short speech recordings. It does not handle machine translation. (if I have understood what you meant)
Best.
No... I meant that I want to be able to get short lang name, e.g. 'en': 'English', 'es': 'Spanish', etc.
Hello,
No. You will need to parse it yourself. You can create a dict of association {"English":"en", ...} or you can modify the file label_encoder.txt that you will get when loading the model.
Best.
That's what I've done for now :)