In a galaxy not too far away, neural machine translation (NMT) has been on everyone’s lips, lauded as the next best thing since… machine translation. While NMT has been around for a number of years now, you could argue the hype (and the expectations) surrounding it are as strong as ever. Or is it?
We at Nimdzi are here to deconstruct the hype.
The purpose of this report is not necessarily to provide a primer on NMT, although we might touch on some of its essential aspects. Academics and specialists in the field of machine translation (MT) have written at length about what NMT is, for example here and here. If you want to catch up on the latest on NMT technology, we recommend you to check out Iconic’s Neural MT Weekly blog too.
The purpose of this report is to investigate where NMT is at right now. We surveyed 33 localization buyers. We’ll be answering the following question: Is NMT only talked about or has it been adopted?
If you’re a driver, you’ve probably heard of the two-second rule. Staying at least two seconds behind any vehicle is considered a rule of thumb for drivers wanting to maintain a safe following distance at any speed. The two seconds don’t represent safe stopping distance but rather safe reaction time.
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.
74.2 percent of buyer-side respondents to Nimdzi’s recent survey on the state of NMT replied they have not been working with their partner LSP on piloting the technology for them.