Closed iliasprc closed 5 years ago
Hi Ilias,
I haven't personally tried training recognition with the NSLT pipeline, but one might guess that it would be similar to the ones I have used in the paper for doing translation.
One thing I must point out is that if you are going to evaluate your predictions with the builtin metrics in this code base, you should check Koller et al's evaulation scripts for recognition which comes with the phoenix 2014 dataset. In them there is some preprocessing done on the predicted glosses before calculating the WER.
What are the optimal parameters ( number of layers, hidden units ....) to train nslt with glosses as targets ?