For the NMT model, updating the pre-trained embeddings during training (u-emb) has invariably led to the highest accuracies, up to an improvement of 2.98 BLEU points over the random embeddings in the eu→en direction.
the performance ranking has changed drastically when testing on the more probing Berriak corpus.