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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 ...
Keypad used by T9. T9's objective is to make it easier to enter text messages.It allows words to be formed by a single keypress for each letter, which is an improvement over the multi-tap approach used in conventional mobile phone text entry at the time, in which several letters are associated with each key, and selecting one letter often requires multiple keypresses.
If the word that the user wants is not predicted, the writer must enter the next letter of the word. At this time, the word choice(s) is altered so that the words provided begin with the same letters as those that have been selected. When the word that the user wants appears it is selected, and the word is inserted into the text.
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.
iTap will guess the best match based upon a built in dictionary, including words sharing the typed prefix. This dictionary also contains phrases and commonly used sentences. This way the predictive guesses iTap offers are enhanced based upon context of the word that is being typed. iTap typically uses a different user interface (UI) than T9 ...
The bag-of-words model is commonly used in methods of document classification where the (frequency of) occurrence of each word is used as a feature for training a classifier. [47] bag-of-words model in computer vision In computer vision, the bag-of-words model (BoW model) can be applied to image classification, by treating image features as
Predictive modeling is a statistical technique used to predict future behavior. It utilizes predictive models to analyze a relationship between a specific unit in a given sample and one or more features of the unit. The objective of these models is to assess the possibility that a unit in another sample will display the same pattern.
Words of estimative probability (WEP or WEPs) are terms used by intelligence analysts in the production of analytic reports to convey the likelihood of a future event occurring. A well-chosen WEP gives a decision maker a clear and unambiguous estimate upon which to base a decision.