For most applications, this will not work, as the training data needs to
come from the same distribution as your test data.
Language identification is pretty simple, and training a linear
classifier on n-grams should get you quite a bit.
On 06/28/2015 09:58 AM, Erez Segal wrote:
I was searching a library of pre-trained models using scikit-learn
(e.g. - a classifier for language identification),
stored with joblib or something similiar.
Is there such existing library?
Thanks,
Erez
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