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A BlackBerry Pearl with SureType. Note the extra columns. The ! key represents Q and W, the 1 key E and R, the 9 key M. SureType is a QWERTY-based character input method for cell phones which is used on the BlackBerry Pearl. SureType combines a traditional telephone keypad with a QWERTY-based keyboard to create a non-standard way to input text ...
The Pearl Flip is very similar to the original Pearl and uses the same predictive text input that the Pearl uses. It has a 2.0-megapixel camera and video recording. It is the first BlackBerry to feature Wi-Fi and mobile calling in a new flip design. [citation needed] Games - Yes; Picture Messaging - Yes; Video - Yes; Internet - Yes. HTML Browser
WordWise was not a dictionary-based predictive system, but rather an extension of the LetterWise system to predict whole words from their linguistic components. It was designed to compete with dictionary-based predictive systems such as T9 and iTap which were commonly used with mobile phones with 12-key telephone keypads.
Predictive text could allow for an entire word to be input by single keypress. Predictive text makes efficient use of fewer device keys to input writing into a text message, an e-mail, an address book, a calendar, and the like. The most widely used, general, predictive text systems are T9, iTap, eZiText, and LetterWise/WordWise. There are many ...
For example, if the only file in the current directory that starts with x is xLongFileName, the user may prefer to type x and autocomplete to the complete name. If there were another file name or command starting with x in the same scope, the user would type more letters or press the Tab key repeatedly to select the appropriate text.
It is commonly used in conjunction with text-messaging services. Some portable telecommunications devices (such as the BlackBerry) have bypassed the need for this by incorporating a mini-keyboard for users to type on. As of 2012, most mobile phones with fewer keys than alphabet letters offer a predictive text input method. [citation needed]
The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity.
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