Abstract: An alphanumeric information entry process that includes provision and use of a personal context model that correlates various examples of user context against a unique personal language model for the user. The personal language model itself along with considerable correlation examples can be developed by statistical analysis of user documents and files including particularly email files (including address books). Such processing can be done locally or remotely. The personal context model is used to predict subsequent alphanumeric entries for a given user. In one embodiment predictions are presented one word at a time. Predictions can be automatically changed in one embodiment when the user fails to make any input for a predetermined period of time.

Abstract: An alphanumeric information entry process that includes provision and use of a personal context model that correlates various examples of user context against a unique personal language model for the user. The personal language model itself along with considerable correlation examples can be developed by statistical analysis of user documents and files including particularly email files (including address books). Such processing can be done locally or remotely. The personal context model is used to predict subsequent alphanumeric entries for a given user. In one embodiment predictions are presented one word at a time. Predictions can be automatically changed in one embodiment when the user fails to make any input for a predetermined period of time.

Abstract: An alphanumeric information entry process that includes provision and use of a personal context model that correlates various examples of user context against a unique personal language model for the user. The personal language model itself along with considerable correlation examples can be developed by statistical analysis of user documents and files including particularly email files (including address books). Such processing can be done locally or remotely. The personal context model is used to predict subsequent alphanumeric entries for a given user. In one embodiment predictions are presented one word at a time. Predictions can be automatically changed in one embodiment when the user fails to make any input for a predetermined period of time.

Abstract: An alphanumeric information entry process that includes provision and use of a personal context model that correlates various examples of user context against a unique personal language model for the user. The personal language model itself along with considerable correlation examples can be developed by statistical analysis of user documents and files including particularly email files (including address books). Such processing can be done locally or remotely. The personal context model is used to predict subsequent alphanumeric entries for a given user. In one embodiment predictions are presented one word at a time. Predictions can be automatically changed in one embodiment when the user fails to make any input for a predetermined period of time.

Abstract: A handheld device 100 such as a personal digital assistant (PDA) or the like, a handwritten input user interface (HIUI), a method of interfacing handwritten text and a program product therefor. A lower portion of a touch enabled display is designated as a handwriting input area 104. Action icons 106, 108, 110, 112 and 114 are disposed at a right side of the handwriting user interface 102. Recognized text is displayed on the screen in a text display area located between a file management tool bar 116 and the handwritten input area 104. A scroll bar 118 is disposed at the right side of the display 112. As text is continuously entered each individual word may be recognized, and inserted into the end of the text stream. A word separator 120 may demarcate or bracket individual words in a continuous input stream. A secondary list of potential recognition candidates may be available for display in a box 128 and offered for substitution for or in lieu of the recognized word.

Abstract: A handheld device 100 such as a personal digital assistant (PDA) or the like, a handwritten input user interface (HIUI), a method of interfacing handwritten text and a program product therefor. A lower portion of a touch enabled display is designated as a handwriting input area 104. Action icons 106, 108, 110, 112 and 114 are disposed at a right side of the handwriting user interface 102. Recognized text is displayed on the screen in a text display area located between a file management tool bar 116 and the handwritten input area 104. A scroll bar 118 is disposed at the right side o f the display 112. As text is continuously entered each individual word may be recognized, and inserted into the end of the text stream. A word separator 120 may demarcate or bracket individual words in a continuous input stream. A secondary list of potential recognition candidates may be available for display in a box 128 and offered for substitution for or in lieu of the recognized word.

Abstract: A data entry apparatus (10) receives a first character key from a keypad (12). A set of characters associated with the first character key is displayed. A second character key from the keypad (12) is received, wherein a second set of characters is associated with the second character key. A character from the first set of characters is combined with a character from the second set of characters. A set of alternative n-grams is displayed, derived from the step of combining, in descending order based on a probability of frequency of use in a given language. When an alternative n-gram is detected as being actively highlighted, the n-gram is locked to create a locked n-gram and characters associated with subsequent character keys vary in their combinations with respect to the locked n-gram.

Abstract: A method and apparatus to recognize hand-printed characters represented as an electronic ink stream. A first filtering box (300) is defined around a center of a first output point (324) in the electronic ink stream and the first output point is added to a filtered ink stream. A second output point (328) is added to the filtered ink stream only when the electronic ink stream moves outside the filtering box (300). When the second output point (328) is added, the filtering box is re-centered on the second output point (328) only in a dimension that is exceeded after adding the second output point (328) to the filtered ink stream to create a second filtering box (310). Moreover, extraction points (630, 640, 650 and 660) are provided approximately equally spaced across a finite set of points of electronic ink to create a compact representation of a finite set of points of electronic ink.