High Rank RNN model as Encoder or Decoder

pytorch

(Bachstelze) #1

Is there a simple way to incorporate the currently best language model (due to perplexity evaluation) into OpenNMT?
I am wondering why nobody test those language models for machine translation. Doesn’t the perplexity play a role in the model architecture of NMT?
The implementation is available in Pytorch Mixture of Softmaxes ,so the more specific question would be: How could be the model used in the pytorch-branch of OpenNMT?

This could be a double request but the last hint got no answer: replacing softmax