Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Predictive text dictionary population

a text dictionary and predictive technology, applied in computing, instruments, electric digital data processing, etc., can solve the problems of reducing the number of words available, reducing the ease and speed of text entry, and limiting the non-volatile memory of computing devices, so as to achieve the effect of quick populated

Inactive Publication Date: 2005-12-22
MALIKIE INNOVATIONS LTD
View PDF10 Cites 63 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0011] The maintenance of sets of words related to various interests, professions, locations, etc. allows a predictive text dictionary to be quickly populated with words relevant to the user. Also, where a user maintains more than one such computing device, or replaces one computing device with another, the invention provides a simple method of populating the predictive text dictionary of the new computing device(s) that does not require the user to spend an undue amount of time entering the words into the dictionary himself.

Problems solved by technology

While some computing devices, such as personal computers, have been afforded with a full QWERTY keyboard for alphanumeric text entry, many other computing devices, such as handheld electronic devices, are equipped with limited keyboards, wherein one key can represent more than one alphabetic character.
Despite the plethora of these and other interfaces available for inputting text on such computing devices, the ease and speed of text entry may not be satisfactory in some circumstances.
The provisioning of predictive text dictionaries on some computing devices with limited non-volatile memory has proven to be a challenge.
As a result, manufacturers have been forced to equip such devices with a pared-down predictive text dictionary, thus reducing the words available.
On the other hand, large, generic predictive text dictionaries can be disadvantageous as a large number of words, many of which may not be relevant to or used by the user, can be suggested by the predictive text dictionary upon entering in a number of keystrokes.
This situation serves to frustrate and slow down the user's input of text, and even can result in the insertion of the incorrect words.
This method of expanding the predictive text dictionary, however, is slow and typically needs to be repeated for each device of the user.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Predictive text dictionary population
  • Predictive text dictionary population
  • Predictive text dictionary population

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019]FIG. 1 is a schematic diagram of a number of components in accordance with an embodiment of the invention. A mobile computing device 104 is shown in communication via radio frequency to a cell tower 108, which is, in turn, connected to the Internet 112 via some wireless network infrastructure (not shown). A server 116 is also connected to the Internet 112, and is additionally coupled to a word database 120 and a user database 124.

[0020] The word database 120 stores a plurality of words that correspond to a number of categories and / or locations, and a number of other metrics corresponding to each word. A word as used herein refers to a word, an acronym, an abbreviation, a phrase, etc. employed by users to communicate. For example, the words “football”, “NFL”, “Superbowl”, “touchdown”, “referee” and “ref” could be associated with a “Sports” category. Additionally, some words in the word database 120 are related to locations, such as cities. For example, the words “Washington”, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A method and system for populating a predictive text dictionary is provided. A connection between a handheld electronic device and a network is detected. The handheld electronic device is operable to allow a user to enter text. The handheld electronic device has a predictive text dictionary that is operable to receive and employ sets of words. User preferences for the handheld electronic device are retrieved. The predictive text dictionary of the handheld electronic device is populated with a set of words at least partially based on the user preferences.

Description

FIELD OF THE INVENTION [0001] The invention relates generally to computing device input interfaces and, more specifically, relates to a method and system for facilitating text entry. BACKGROUND OF THE INVENTION [0002] Text entry methods and systems for computing devices are well-known in the art. While some computing devices, such as personal computers, have been afforded with a full QWERTY keyboard for alphanumeric text entry, many other computing devices, such as handheld electronic devices, are equipped with limited keyboards, wherein one key can represent more than one alphabetic character. One such system, referred to in the art as multi-tap, has been in use for a number of years for permitting users to enter text using a conventional telephone key pad such as specified under ITU E 1.161. Multi-tap requires a user to press a key a varying number of times, generally within a limited period of time, to input a specific letter. [0003] Another system, T9® developed by Tegic Communi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/27
CPCG06F17/2735G06F40/242
Inventor GRIFFIN, JASON
Owner MALIKIE INNOVATIONS LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products