17 Sep20 Issue #99 – Training Neural Machine Translation with Semantic Similarity Author: Dr. Karin Sim, Machine Translation Scientist @ Iconic Introduction The standard way of training Neural Machine Translation (NMT) systems is by Maximum Likelihood Estimation (MLE), and although there have been experiments in the past to optimize systems directly in order to improve particular evaluation metrics, these were of limited success. Of course, using BLEU is not ideal due to the fact that it fails to account for […]