Do you remember the last time when people were NOT talking about machine translation (MT)? We don't. Wherever you go, there’s someone talking about MT. With few exceptions, it seems like the only major disruptors in our industry over the past few decades have been breakthroughs in language technology.
19 August 2020
Some machine translation providers are holding out hope for MT systems that adapt to document context. Could this development eliminate the need for custom MT engines? Will context-enabled MT help MT achieve human parity? Will we still need to customize a few years from now? Let’s discuss further.
5 August 2020
Is it possible to auto-select the best MT Engine? Let's take a look at what's out there.
21 February 2020
One of the main reasons for implementing machine translation (MT) into localization workflows is that it saves money. And time. This time, let’s focus on money. In particular, cost savings.
19 February 2020
School is back in session! In this episode, Michael interviews a panel of localization professors—Max Troyer, Jon Ritzdorf and Jan Grodecki—about how they are preparing students for the future of localization. They discuss how curriculum should both ride the wave of current technology as well as teach students traditional critical skills. Other topics include the […]
25 September 2019
Today, machines translate more in a day than all human translators on the planet combined translate in a year. As machine translation (MT) becomes more widespread, its uses expand too. You could argue MT has replaced human translators in some scenarios. On the other hand, it also created new ones. The old questions of cost, […]
30 April 2019