Sentence examples for text machine from inspiring English sources

Its Deep Text machine learning engine can understand the context of thousands of posts per second in 20 languages, said Zuckerberg. "We have a saying here at Facebook: 'Our journey is only 1% done'".

You'll probably find a handful, but nothing that's more robust than a QWERTY-packing text machine or a sluggish touchscreener.

On the other hand, compound documents using opaque formats, like Microsoft Compound Document File Format, may contain undisclosed data such as authors name, organizational information of users involved, previously deleted text, machine related information, and much more.

With respect to a standardized implementation, the IHE Basic Patient Privacy Consent profile (BPPC) [ 14] provides opt-in support, but important aspects like e.g. how to structure a consent document and how to make the legal text machine-readable, are not specified.

TextPlus 4 and BrightKite, meanwhile, are more far-ranging apps that will turn your iPod Touch into a free group-texting machine.

Sprint bills this phone as "the ultimate texting machine" and, while that might be a slight misnomer (everyone knows the ultimate texting machine would be some sort of robot that answered all your e-mails and text messages, showed emotion, and was capable of rational thought), I found the Rant to come pretty close thanks to a great keyboard and simple UI.

American teenagers have been ahead of the curve for a while, turning their cellphones into texting machines; more than half of them send about 1,500 text messages each month, according to a recent study by the Pew Research Center's Internet and American Life Project.

While mobile phones were originally a device for talking to other humans, before smartphones plus touchscreens turned devices (and people) into texting machines, analysts are spying signs of a renaissance for voice — as a control mechanism to speed up interacting with increasingly complex devices.

It brings families together, it promotes bonding and it gets kids off the streets, out of the game rooms and away from their texting machines.

This paper presents a new approach to evaluating cognitive load by combining writing features from free text and machine learning techniques.

For processing the huge amount of unstructured text data, machine learning and deep learning have had some certain breakthrough in the field of text processing.