Automated spell analysis

• US 7,669,112 B2
• Filed: 07/26/2007
• Issued: 02/23/2010
• Est. Priority Date: 12/29/2000
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Day, Paul Reuben, Cragun, Brian John, Bates, Cary Lee, Santosuosso, John Matthew
• Primary Examiner(s): HUYNH, CONG LAC T
• Application Number:
  US11/828,890
• Publication Number:
  US 20070271089A1
• Time in Patent Office: 943 Days
• Field of Search: 715/200, 715/255, 707/6
• US Class Current: 715/200
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/232 Orthographic correction, e.g. spell checking or vowelisation
• CPC Class Codes: G06F 40/242 Dictionaries

Abstract

An apparatus, program product and method utilize automated analysis techniques to assist in the determination of acceptable usages of linguistic terms (e.g., words, phrases, acronyms, etc.). In particular, an acceptable usage of a linguistic term in a document on the Internet may be determined by detecting a spell definition tag in the document. In response to detecting the spell definition tag, automatically adding the acceptable variant of the linguistic term to an electronic dictionary.

Claims

1. A computer-implemented method of analyzing linguistic terms, the method comprising:

(a) scanning a plurality of documents for variants of a linguistic term; and

(b) tracking relative occurrences of a plurality of variants of the linguistic term found in the plurality of documents during scanning to determine an acceptable usage of the linguistic term, wherein each variant of the linguistic term found in each document is of the type that is intentionally chosen by an author of such document and wherein the acceptable usage is determined by the variant having the greatest frequency of occurrences among the plurality of variants.

2. The method of claim 1, further comprising retrieving the plurality of documents from a network, wherein scanning the plurality of documents includes scanning each document subsequent to retrieval of the document from the network.

3. The method of claim 2, wherein retrieving the plurality of documents from the network comprises retrieving the plurality of documents from at least one Internet web site in response to a user browsing the at least one Internet web site, and wherein scanning the plurality of documents includes scanning each document upon retrieval of that document from the at least one Internet web site.

4. The method of claim 2, further comprising determining whether a retrieved document has already been scanned before scanning the retrieved document.

5. The method of claim 2, further comprising determining whether to scan a retrieved document based upon a source parameter associated with the linguistic term.

6. The method of claim 1, further comprising browsing a second plurality of documents retrieved from at least one Internet web site in response to user input, wherein scanning the first plurality of documents is performed concurrently with browsing the second plurality of documents.

7. The method of claim 6, wherein scanning the first plurality of documents is performed in a background thread while documents from the second plurality of documents are being browsed.

8. The method of claim 7, wherein scanning the first plurality of documents includes scanning documents stored in a local history cache.

9. The method of claim 1, wherein the linguistic term comprises a single word.

10. The method of claim 1, wherein the linguistic term comprises a phrase.

11. The method of claim 1, wherein the linguistic term comprises an acronym.

12. The method of claim 1, wherein the plurality of variants differ from one another based upon at least one of punctuation, spelling, capitalization, hyphenation, and definition.

13. The method of claim 1, wherein scanning the plurality of documents includes scanning a document for an enumerated variant of the linguistic term.

14. The method of claim 1, wherein scanning the plurality of documents includes scanning a document for an unenumerated variant of the linguistic term.

15. The method of claim 14, wherein scanning the document for the unenumerated variant of the linguistic term includes scanning the document using phonetic comparison.

16. The method of claim 1, wherein tracking relative occurrences of the plurality of variants includes weighting occurrences based upon locations of such occurrences within the plurality of documents.

17. The method of claim 1, wherein tracking relative occurrences of the plurality of variants includes weighting occurrences based upon document types of the documents within which such occurrences are found.

18. The method of claim 1, further comprising storing a variant of the linguistic term in an electronic dictionary.

19. The method of claim 18, further comprising spell checking a document using the electronic dictionary subsequent to storing the variant in the electronic dictionary.

20. The method of claim 1, wherein tracking relative occurrences of the plurality of variants includes storing context information associated with each occurrence of a variant of the linguistic term.

21. The method of claim 1, wherein scanning the plurality of documents includes scanning a document for a spell definition tag that identifies a variant of the linguistic term.

22. The method of claim 1, wherein scanning the plurality of documents and tracking relative occurrences are performed responsive to detecting a variant of the linguistic term during spell checking of a document.

23. The method of claim 1, wherein tracking relative occurrences of the plurality of variants of the linguistic term includes accumulating a count of the relative occurrences of a variant found in multiple documents among the plurality of documents.

24. A method of analyzing linguistic terms, the method comprising:

(a) browsing a plurality of web sites on the Internet in response to user input; and

(b) concurrently with browsing the plurality of web sites, tracking relative occurrences of a plurality of variants of a linguistic term found in the plurality of web sites to determine an acceptable usage of the linguistic term, wherein each variant of the linguistic term found in each web site is of the type that is intentionally chosen by an author of such web site and wherein the acceptable usage is determined by the variant having the greatest frequency of occurrences among the plurality of variants.

25. An apparatus, comprising:

(a) a memory; and

(b) a program resident in the memory and configured to determine an acceptable usage of a linguistic term by scanning a plurality of documents for variants of the linguistic term and tracking relative occurrences of a plurality of variants of the linguistic term found in the plurality of documents during scanning, wherein each variant of the linguistic term found in each document is of the type that is intentionally chosen by an author of such document and wherein the acceptable usage is determined by the variant having the greatest frequency of occurrences among the plurality of variants.

26. A program product, comprising:

(a) a program configured to determine an acceptable usage of a linguistic term by scanning a plurality of documents for variants of the linguistic term and tracking relative occurrences of a plurality of variants of the linguistic term found in the plurality of documents during scanning, wherein each variant of the linguistic term found in each document is of the type that is intentionally chosen by an author of such document and wherein the acceptable usage is determined by the variant having the greatest frequency of occurrences among the plurality of variants ; and

(b) a computer-readable storage medium storing the program.