Handheld electronic device and associated method employing a multiple-axis input device and elevating the priority of certain text disambiguation results when entering text into a special input field

• US 8,502,784 B2
• Filed: 03/08/2012
• Issued: 08/06/2013
• Est. Priority Date: 08/31/2004
• Status: Active Grant

• Current Assignee: Malikie Innovations Limited (Key Patent Innovations Limited)
• Original Assignee: Research In Motion Limited (Blackberry Limited)
• Inventors: Fux, Vadim, Elizarov, Michael, Kolomiets, Sergey
• Primary Examiner(s): Bolotin, Dmitriy
• Application Number:
  US13/414,846
• Publication Number:
  US 20120206368A1
• Time in Patent Office: 516 Days
• Field of Search: 345156-184, 341/22, 715/864, 715221-226
• US Class Current: 345/169
• CPC Class Codes: G06F 3/0237 using prediction or retrieval techniques

Abstract

A handheld electronic device includes a reduced QWERTY-keyboard and is enabled with disambiguation software. The device provides output in the form of a default output and a number of variants. The output is based upon frequency, i.e., the likelihood that a user intended a particular output, but various features of the device provide additional variants that are not based solely on frequency utilizing various logic structures resident on the device. The device enables editing during text entry and also provides a learning function allowing the disambiguation function to adapt to provide a customized user experience. The disambiguation function can be selectively disabled and an alternate keystroke interpretation system provided. If a field into which text is being entered is determined to be a special input field, a disambiguated result can be sought from a predetermined data source prior to seeking results from other data sources on the device.

Claims

1. A method of disambiguating an input into a handheld electronic device, the method comprising:

detecting an ambiguous input entered into an input field;

determining whether the input field is a special input field;

identifying, from a plurality of data sources, a particular data source associated with the special input field; and

outputting a proposed disambiguation result utilizing the plurality of data sources,

wherein, if the input field is determined to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher priority than language objects from the plurality of data sources other than the particular data source based on the special input field determination, and

wherein, if the input field is determined not to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher or lower priority than language objects from the plurality of data sources other than the particular data source based on a frequency analysis.

2. The method of claim 1, wherein outputting a proposed disambiguation result further comprises:

generating a number of prefix objects corresponding with the ambiguous input;

forming a first result by identifying in the predetermined data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value;

making a determination that the quantity of the prefix objects in the first result is less than a predetermined quantity;

responsive to the determination, forming a second result by identifying in a second data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value; and

outputting in a list the prefix objects of the first result and at least some of the prefix objects of the second result.

3. The method of claim 2, wherein outputting a proposed disambiguation result further comprises:

outputting in the list;

the prefix objects of the first result organized in descending order of frequency value, and

the at least some of the prefix objects of the second result organized in descending order of frequency value.

4. The method of claim 3, wherein outputting a proposed disambiguation result further comprises:

outputting the prefix objects of the first result at a position of higher priority in the list than any of the prefix objects of the second result.

5. A handheld electronic device comprising:

a processor apparatus comprising a processor and a memory;

an input apparatus being structured to provide input to the processor apparatus;

an output apparatus structured to receive output signals from the processor apparatus;

the memory further having stored therein a number of routines which, when executed on the processor, cause the handheld electronic device to perform operations comprising;

detecting an ambiguous input entered into an input field;

determining whether the input field is a special input field;

identifying, from a plurality of data sources, a particular data source associated with the special input field; and

outputting a proposed disambiguation result utilizing the plurality of data sources,

wherein, if the input field is determined to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher priority than language objects from the plurality of data sources other than the particular data source based on the special input field determination, and

wherein, if the input field is determined not to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher or lower priority than language objects from the plurality of data sources other than the particular data source based on a frequency analysis.

6. The handheld electronic device of claim 5, wherein outputting a proposed disambiguation result further comprises:

generating a number of prefix objects corresponding with the ambiguous input;

forming a first result by identifying in the predetermined data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value;

making a determination that the quantity of the prefix objects in the first result is less than a predetermined quantity;

responsive to the determination, forming a second result by identifying in a second data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value; and

outputting in a list the prefix objects of the first result and at least some of the prefix objects of the second result.

7. The handheld electronic device of claim 6, wherein outputting a proposed disambiguation result further comprises:

outputting in the list;

the prefix objects of the first suit organized in descending order of frequency value, and

the at least some of the prefix objects of the second result organized in descending order of frequency value.

8. The handheld electronic device of claim 7, wherein outputting a proposed disambiguation result further comprises:

outputting the prefix objects of the first result at a position of higher priority in the list than any of the prefix objects of the second result.

9. A non-transitory computer-readable medium comprising routines, the routines being operable, when executed by a processor, to perform the steps of:

detecting an ambiguous input entered into an input field;

determining whether the input field is a special input field;

identifying, from a plurality of data sources, a particular data source associated with the special input field; and

outputting a proposed disambiguation result utilizing the plurality of data sources,

wherein, if the input field is determined to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher priority than language objects from the plurality of data sources other than the particular data source based on the special input field determination, and

wherein, if the input field is determined not to be the special input field, language objects from the particular data source are included in the proposed disambiguation result at a position of higher or lower priority than language objects from the plurality of data sources other than the particular data source based on a frequency analysis.

10. The non-transitory computer-readable medium of claim 9, wherein outputting a proposed disambiguation result further comprises:

generating a number of prefix objects corresponding with the ambiguous input;

forming a first result by identifying in the predetermined data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value;

making a determination that the quantity of the prefix objects in the first result is less than a predetermined quantity;

responsive to the determination, forming a second result by identifying in a second data source for each of at least some of the prefix objects a corresponding language object with which is associated a frequency object having a frequency value; and

outputting in a list the prefix objects of the first result and at least some of the prefix objects of the second result.

11. The non-transitory computer-readable medium of claim 10, wherein outputting a proposed disambiguation result further comprises:

outputting in the list;

the prefix objects of the first result organized in descending order of frequency value, and

the at least some of the prefix objects of the second result organized in descending order of frequency value.

12. The non-transitory computer-readable medium of claim 11, wherein outputting a proposed disambiguation result further comprises:

outputting the prefix objects of the first result at a position of higher priority in the list than any of the prefix objects of the second result.