SYLLABIC SEARCH ENGINES AND RELATED METHODS

• US 20110029545A1
• Filed: 10/14/2010
• Published: 02/03/2011
• Est. Priority Date: 12/12/2001
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Clapper, Edward O.
• Application Number:
  US12/904,821
• Publication Number:
  US 20110029545A1
• Time in Patent Office: Days
• US Class Current: 707/752
• CPC Class Codes: G06F 16/334 Query execution G06F16/335 takes precedence

Abstract

An improved search engine, for a computing device or computer network, utilizes search strings comprising complete words and numbers representing a syllable count for each unknown word. Pattern-matching algorithms are utilized to search a document database for documents that match the input search strings. The document database is constructed by analyzing a number of documents, utilizing document-analyzing algorithms. In one embodiment, each database record comprises a document that has been analyzed into one or more groups of word sequences. Each word sequence comprises an ordered list of words in the word sequence, as well as a corresponding ordered list of the syllable count for each word in the word sequence. The syllabic search engine can be implemented in different ways, such as through a software application, operating system, network software, or a custom software module. Improved computers and computer networks for providing a syllabic search function are also described.

Claims

1. A method comprising:

analyzing a document, with a computing device, into an ordered sequence of words, each word having an associated syllable count; and

storing the ordered sequence of words and the associated syllable counts in a document database.

2. The method recited in claim 1 wherein, in analyzing, a syllable dictionary is utilized to provide a syllable count for each word.

3. The method recited in claim 1 wherein, in analyzing, the document is parsed into a number of phrases.

4. The method recited in claim 1 wherein, in storing, the database comprises a plurality of records, each comprising an ordered listing of words and an ordered syllable count listing.

5. The method recited in claim 4 wherein, in storing, each database record comprises a work from the group comprising a literary work, a song lyric, a dramatic work, a motion picture script, and an audiovisual script.

6. The method recited in claim 1 wherein, in storing, the ordered sequence of words and the associated syllable counts are stored as an ordered sequence of syllable counts.

7. A computing device including a memory to store a database, the computing device executing a computer program comprising the operations of:

analyzing a document into an ordered sequence of words, each word having an associated syllable count; and

storing the ordered sequence of words and the associated syllable counts in the database.

8. The computing device recited in claim 7 wherein, in analyzing, a syllable dictionary is utilized to provide a syllable count for each word.

9. The computing device recited in claim 7 wherein, in analyzing, the document is parsed into a number of phrases.

10. The computing device recited in claim 7 wherein, in storing, the database comprises a plurality of records, each comprising an ordered listing of words and an ordered syllable count listing.

11. The computing device recited in claim 10 wherein, in storing, each database record comprises a work from the group comprising a literary work, a song lyric, a dramatic work, a motion picture script, and an audiovisual script.

12. The computing device recited in claim 7 wherein, in storing, the ordered sequence of words and the associated syllable counts are stored as an ordered sequence of syllable counts.

13. An article comprising a non-transitory machine-accessible medium having associated instructions, wherein the instructions, when accessed, result in a machine performing:

analyzing a document into an ordered sequence of words, each word having an associated syllable count; and

storing the ordered sequence of words and the associated syllable counts in a database.

14. The article of claim 13 wherein, in analyzing, a syllable dictionary is utilized to provide a syllable count for each word.

15. The article of claim 13 wherein, in analyzing, the document is parsed into a number of phrases.

16. The article recited in claim 13 wherein, in storing, the database comprises a plurality of records, each comprising an ordered listing of words and an ordered syllable count listing.

17. The article recited in claim 16 wherein, in storing, each database record comprises a work from the group comprising a literary work, a song lyric, a dramatic work, a motion picture script, and an audiovisual script.

18. The article recited in claim 13 wherein, in storing, the ordered sequence of words and the associated syllable counts are stored as an ordered sequence of syllable counts.