Machine translation of foreign languages has been good for a while. And yet human translators are still in demand. Why isn’t AI killing these jobs? And even if it isn’t, how is it reshaping them?| NPR
Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation, with the potential to overcome many of the weaknesses of conventional phrase-based translation systems. Unfortunately, NMT systems are known to be computationally expensive both in training and in translation inference. Also, most NMT systems have difficulty with rare words. These issues have hindered NMT's use in practical deployments and services, where both accuracy and speed are essential. In th...| arXiv.org
