Apple's predictive text feature has a machine learning component that enables the software to build custom dictionaries. Some examples of predictive text systems for mobile devices are the following: The name was inspired by the way early spell checkers would change the word cooperation to Cupertino, which just happens to be the city in California where Apple has its corporate headquarters. Erroneous predictive text input on Apple devices is sometimes referred to as the Cupertino effect. Software in the device correlated sequences of key presses with words in the dictionary and prioritized predictions by frequency of use.Īlthough predictive text technologies are becoming increasingly sophisticated, the software is still notoriously error-prone. T9 improved the mobile user experience by associating groups of letters on each phone key with words in a dictionary. Prior to T9, typing on a mobile device required multitapping, where the user had to tap numbers up to four times to register letter characters. T9 was invented in 1995 and made typing on mobile phones and other small devices easier. One of the earliest applications for predictive text was T9 (text on 9 keys).
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