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The origins of predictive text
- Some scholars see mid-20th century Chinese typewriters as a basis for predictive text.
- Today, predictive text lives in the liminal space between what you will type and what you mean to type.
- It's a step beyond auto-correct.
- Both are rooted in natural language processing (NLP), a field that combines linguistics and computer science.
- In functionality, predictive text feels less like autocorrect and much more like the Google’s search engine’s autocomplete system, which guesses what you’re about to type into the search bar—based on what billions of other people are searching.
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The future of typing
- Predictive text reinforces certain speech and serves as a reminder that no one is that original.
- The future of typing may involve fewer misspellings and slightly less work.
- In a few years, computers could play an even more active role in how we write. Eventually, we may not even need a keyboard to type, and could instead pantomime the movements.
- Or maybe a neural implant like the one Elon Musk is pushing will usher in “think-to-type” technology. Depending on how such technologies are adapted, and by whom, typing itself may ultimately become obsolete.
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