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A global study of translation technology - past, present and future

How effective are existing language technologies? Are new tools like machine translation or cloud based services improving the translation process? What do users expect from translation software, at present and in the future.

To find out we contacted thousands of professionals across the entire translation supply chain. We received 2,784 responses from over 100 countries, making this study one of the largest of its kind.

Five key topics of interest have emerged out of this research, and throughout 2016 we will be looking at each in detail to better understand how we can all meet the needs and challenges of translation.

Quality is king - but hard to achieve

Quality is 6x more important than cost and 2.5x more important than speed, but with two thirds of those polled performing rework on translated content it is is clearly difficult to achieve high quality content. Discover what other challenges the industry says it needs to overcome to deliver on quality.

The pressure is on

The growing challenges of translation and the increasingly global means of doing business are changing the way we work. Learn about the trends for the future of translation work and how you can take advantage of them.

User expectations are high

CAT tools have become more user friendly over the past five years, but there is still room for improvement. Find out what language professionals want from translation technology, and how to improve your own experience.

The future is open

Businesses are increasingly leveraging software APIs and apps to enhance their translation tools and integrate with their other systems. Discover what they're doing and learn how you can take advantage yourself.

New horizons in productivity

Translation productivity technology is the preferred solution for growing workloads - and the innovation has only just begun. Find out what the future holds for productivity in this final key area of our research.
Spotlight

Blog Article

Learn more about the background for this research and our reasons for doing it in this blog by Massimo Ghislandi.