PREDICTIVE TEXT DICTIONARY POPULATION

• US 20120101811A1
• Filed: 12/30/2011
• Published: 04/26/2012
• Est. Priority Date: 06/18/2004
• Status: Active Grant

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Blackberry Limited
• Inventors: Griffin, Jason, Tyneski, Frank M.
• Granted Patent: US 10,140,283 B2
• Time in Patent Office: Days
• US Class Current: 704/10
• CPC Class Codes: G06F 40/242 Dictionaries

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.

Claims

1-20. -20. (canceled)

21. A method of populating a predictive text dictionary of a computing device, the method comprising:

sending a request to a server for a new word, wherein the new word is selected at least partially based on a user preference associated with the computing device;

receiving the new word from the server; and

updating a predictive text dictionary of the computing device to reflect addition of the new word.

22. The method of claim 21, wherein updating a predictive text dictionary further comprises:

appending the new word to the predictive text dictionary.

23. The method of claim 21, wherein updating a predictive text dictionary further comprises:

determining whether to discard an existing word from the predictive text dictionary; and

discarding the existing word from the predictive text dictionary.

24. The method of claim 23, wherein determining whether to discard an existing word from the predictive text dictionary further comprises:

receiving from the server a user preference associated with the computing device; and

determining whether a word category is removed in the user preference.

25. The method of claim 24, wherein discarding the existing word from the predictive text dictionary further comprises:

discarding a word associated with the removed word category.

26. The method of claim 23, wherein determining whether to discard an existing word from the predictive text dictionary further comprises:

determining whether to discard the existing word based on an expiry date associated with the existing word.

27. The method of claim 23, wherein determining whether to discard an existing word from the predictive text dictionary further comprises:

determining whether to discard the existing word based on usage of the word in the computing device.

28. The method of claim 23, wherein determining whether to discard an existing word from the predictive text dictionary further comprises:

determining whether to discard the existing word based on a location of the computing device.

29. A computer-readable medium having computer executable instructions stored thereon for execution on a processor of a device so as to implement the method of claim 21.

30. A computing device comprising:

a memory storing a predictive text dictionary;

a communication module configured to;

send a request to a server for a new word, wherein the new word is selected at least partially based on a user preference associated with the computing device; and

receive the new word from the server; and

a processor configured to;

update the predictive text dictionary to reflect addition of the new word.

31. The computing device of claim 30, wherein the processor is further configured to:

append the new word to the predictive text dictionary.

32. The computing device of claim 30, wherein the processor is further configured to:

determine whether to discard an existing word from the predictive text dictionary; and

discard the existing word from the predictive text dictionary.

33. The computing device of claim 30, wherein the communication module is further configured to receive a user preference associated with the computing device from the server, and

the processor is further configured to:

determine whether a word category is removed in the user preference; and

discard a word associated with the removed word category from the predictive text dictionary.

34. The computing device of claim 30, wherein the processor is further configure to:

determine whether to discard an existing word from the predictive text dictionary based on an expiry date associated with the existing word; and

discard the existing word from the predictive text dictionary.

35. The computing device of claim 30, wherein the processor is further configured to:

determine whether to discard an existing word from the predictive text dictionary based on usage of the existing word in the computing device; and

discard the existing word from the predictive text dictionary.

36. The computing device of claim 30, wherein the processor is further configured to:

determine whether to discard an existing word from the predictive text dictionary based on a location of the computing device; and

discard the existing word from the predictive text dictionary.

37. A method of populating a predictive text dictionary of a computing device, the method comprising:

sending a request to a server for a new word, the request including a location of the computing device, wherein the new word is selected at least partially based on the location of the computing device;

receiving the new word from the server; and

updating a predictive text dictionary of the computing device to reflect addition of the new word.

38. The method of claim 37, wherein the computing device is a wireless handheld electronic device associated with a wireless gateway, and capable of a cellular communication with a cellular tower.

39. The method of claim 37, wherein the computing device is a wireless handheld electronic device and capable of determining the location of the computing device based on cellular triangulation.

40. The method of claim 37, wherein the computing device includes a GPS receiver, and is capable of determining a latitude and a longitude of the location of the computing device.

41. The method of claim 40, wherein updating a predictive text dictionary further comprises:

comparing the location of the computing device with a previous location of the computing device to determine a word associated with the previous location; and

discarding the word associated with the previous location from the predictive text dictionary.