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.
The development will allow translations to be closer to spoken language than with previous machines.
He added that the text that had already been translated across many languages was fed into the Artificial Intelligence system, which helped it learn how to execute translations exactly. “In our testing we’ve found that the machine is alarmingly accurate, even if it does struggle a bit with context.”