Deep Learning Of Human Keyboard Input
Google sees a typing error in one tenth of the billion plus searches every day.
Deep learning, AI and neural networks work to understand and correct our typing errors online, trying to figure out our input. The advanced language processing ensures that typos are taken care of proactively, and the search engine knows what we are trying to find using the various signals we give by our keystrokes.
Example: Typing Arnold S on the Google search bar provides the correct spelling of the actor, Arnold Schwarzenegger as Google knows most people spell it wrong.
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Keyboarding mistakes, those accidental strokes, misspellings and mistaken word selection we make while typing on a computer or phone are called Typos. These can be a result of ‘fat fingers’, bumpy rides, distraction/multitasking, uncontrollable movements or even dyslexia.
A type of neurosurgery that is used to treat involuntary movements has a side effect of forgetting how to touch type. This disruption in the ability to use a keyboard is called dystypia.
We take typing on the keyboard for granted, but it is actually an extremely complex process. Even making errors is a feat.
What we achieved over the past few decades isn’t even necessary any more due to technology, which is taking care of our keyboard fiddling with spell check, grammar correction and autocomplete functions.
We eventually may not have to type by hand anymore, as that is where the friction and the typos are coming from.
Typing by hand on a clickety mechanical keyboard(which have their own fanbase) or even on the smartphone is going to be replaced by technology beaming our thoughts, content or search word directly from our brains into PCs, smart glasses or wrists and get the perfect input every time.
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