All systems apply the same setup with the same number of training batches without any language-specific tuning of any of them.
we use 256 dimensions for word embeddings, 512 dimensions for the hidden LSTM-layer in the encoder, 1024 dimensions for the decoder LSTM's and 256 dimensions for the attention layer.