Neural Machine Translation The Hype Is Dead, Long Live the Hype
Introduction
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?
Information contained in this report
- TL;DR
- NMT and the hype curve
- NMT adoption
- How NMT is perceived
- NMT usage benchmarks
- The plan for 2019
- Opportunities for providers
- The hype is dead, long live the hype
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