System-Level Correction Service

• US 20070265831A1
• Filed: 05/09/2006
• Published: 11/15/2007
• Est. Priority Date: 05/09/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Konopnicki, David, Dinur, Itai
• Application Number:
  US11/382,281
• Publication Number:
  US 20070265831A1
• Time in Patent Office: Days
• US Class Current: 704/10
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation

Abstract

A system-level text correction service (330) is provided. The service (330) includes monitoring (410) the input of text (340) on a computer system, identifying an incorrect input word in a first application. Correction proposal words are retrieved from a system-level dictionary (320), wherein the system-level dictionary (320) stores a reference word with an identifier of at least one application type in which the reference word is used. The correction proposal words are ranked according to the similarity of the proposal word to the input word and by comparing the first application to the application types of the reference word.

Claims

1. A method for providing a correction service, comprising:

monitoring the input of text;

identifying an incorrect input word in a first application;

retrieving one or more correction proposal words from a system-level dictionary, wherein the system-level dictionary stores a reference word with an identifier of at least one application type in which the reference word is used; and

ranking the correction proposal words according to the similarity of the proposal word to the input word and by comparing the first application to the application types of the proposal word.

2. A method as claimed in claim 1, wherein proposal words with an application type of the first application are ranked higher in the correction proposal words than proposal words of a different application type.

3. A method as claimed in claim 1, wherein one or more words neighbouring the input word are recorded as a context of the input word, and the step of ranking includes comparing the context of the input word to the contexts of proposal words in documents on the computer system.

4. A method as claimed in claim 1, wherein a data structure is maintained linking documents relating to an activity, and the step of ranking includes ranking higher in the correction proposal words proposal words that are found in documents which relate to the same activity as the document of the input word.

5. A method as claimed in claim 1, including counting a number of times a word in the dictionary is selected as a correction to an input word, wherein the step of ranking increases the ranking of proposal words according to their count value.

6. A method as claimed in claim 1, wherein the step of monitoring the input of text monitors one or more of:

key stroke inputs, character recognition, voice recognition, at a system level.

7. A method as claimed in claim 1, wherein the step of identifying an incorrect input word is automatic on detection of an unrecognised input word.

8. A method as claimed in claim 1, wherein the step of identifying an incorrect input word is initiated by a user.

9. A method as claimed in claim 1, wherein a system-level dictionary is built on a system-level search.

10. A system for providing a correction service, comprising:

a monitor of input of text on a computer system, including an identifier of an input word in a first application;

a system-level dictionary, wherein the dictionary stores a reference word with an identifier of at least one application type in which the reference word is used;

a means of comparing the input word and reference words in the system-level dictionary according to the similarity of a reference word to the input word and by comparing the first application to the application types of the reference word.

11. A system as claimed in claim 10, including:

a display of one or more correction proposal words from a system-level dictionary, ranked according to the output of the means of comparing the input word and reference words in the system-level dictionary.

12. A system as claimed in claim 11, wherein reference words with an application type of the first application are ranked higher in the correction proposal words than reference words of a different application type.

13. A system as claimed in claim 10, including a record of one or more words neighbouring the input word to provide a context of the input word, and the means of comparing includes comparing the context of the input word to the contexts of proposal words in documents on the computer system.

14. A system as claimed in claim 10, wherein a data structure is maintained linking documents relating to an activity, and the means of comparing includes comparing the activity of documents in which the reference words are found to the activity of the document of the input word.

15. A system as claimed in claim 10, including a counter in the system-level dictionary of a number of times a reference word in the dictionary is selected as a correction to an input word.

16. A method as claimed in claim 10, wherein the monitor of the input of text is of the form of one or more of:

a key stroke monitor, a character recognition application, a voice recognition application.

17. A system as claimed in claim 10, wherein the system-level dictionary is built on a system-level search with applications pushing data to the dictionary.

18. A system as claimed in claim 10, wherein the system-level dictionary is accessed via a network.

19. A computer program product stored on a computer readable storage medium, comprising computer readable program code means for performing the steps of:

monitoring the input of text;

identifying an incorrect input word in a first application;

retrieving one or more correction proposal words from a system-level dictionary, wherein the system-level dictionary stores a reference word with an identifier of at least one application type in which the reference word is used; and

ranking the correction proposal words according to the similarity of the proposal word to the input word and by comparing the first application to the application types of the reference word.

20. A method of providing a service to a customer over a network, the service comprising:

monitoring the input of text;

identifying an incorrect input word in a first application;

retrieving one or more correction proposal words from a system-level dictionary, wherein the system-level dictionary stores a reference word with an identifier of at least one application type in which the reference word is used; and

ranking the correction proposal words according to the similarity of the proposal word to the input word and by comparing the first application to the application types of the reference word.