There is the ever increasing demand for local language content, access to cheap and virtually unlimited computing power in the cloud, and a proliferation of open-source neural machine translation frameworks. Travel fare aggregator and lodging reservations website leveraged all three of these drivers to build a production-level neural machine translation (NMT) system, which the company says “is becoming a very attractive solution to complement the traditional human translation services.” A team working on the project announced the system’s launch in a research paper published in the Cornell University-run open access science site on July 25, 2017. Get the full story at Slator and Cornell University Read also "Skyscanner’s localization challenge: 3 million words, 30 languages, 600K strings" at Slator