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SwiftKey integrates text prediction into Stephen Hawking's communication software

SwiftKey keyboard has been working hard with Professor Stephen Hawking to incorporate text and phrase prediction into his communication software.

Published onDecember 2, 2014


One of the best scientists of our day, Professor Stephen Hawking has had to use a communication device controlled by his cheek for a great many years. Up until now, he’s had to input every individual letter and number into his system in order to type. The folks at SwiftKey, the popular keyboard app, are helping Mr. Hawking out by integrating their software into his system, allowing him to type quicker than ever before.

If you’ve never heard of Swiftkey in the past, it’s a popular third party keyboard app that’s known for its text and phrase prediction, swiping capabilities, and colorful themes. The team at SwiftKey strive to make text input as a whole much easier, which is why they’re helping out the professor to make his life a bit simpler.

When writing long lectures, notes, or books, it takes an extremely long time to input every letter and number individually. So SwiftKey decided to do something about that, and integrate text and phrase prediction into Mr. Hawking’s typing software, much like we see on our phones today. The company has even built a personal “language model” for him based on his extensively used words. The software can analyze the content that he’s currently writing about, learning from his writing style and applying that to his future work. In turn, all of these advancements will help him write more quickly, precisely, and with less effort.

Joe Osborne, SwiftKey’s SDK team lead, says,

It has been a wonderful experience to work so closely with Professor Hawking and his team on this project, integrating our technology into his communications system. SwiftKey’s predictive technology learns from each individual user, gaining insights from their personal language style.

Not only does SwiftKey have a widely popular keyboard, it’s very apparent that the company focuses on the bigger picture of text prediction as a whole. If you’re interested in checking out the keyboard for yourself, head to the Google Play link here.

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