Systems and methods for document analysis

• US 8,423,886 B2
• Filed: 09/02/2011
• Issued: 04/16/2013
• Est. Priority Date: 09/03/2010
• Status: Active Grant

• Current Assignee: Turnitin LLC (Advance Publications Incorporated)
• Original Assignee: iParadigms LLC (Advance Publications Incorporated)
• Inventors: Barrie, John M., Kang, Michael, Chambers, Luke, Storm, Christian, Golik, Steven, Hartman, John
• Primary Examiner(s): RIES, LAURIE ANNE
• Application Number:
  US13/225,090
• Publication Number:
  US 20120060081A1
• Time in Patent Office: 592 Days
• Field of Search: 715/229, 715/230
• US Class Current: 715/230
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes

Abstract

The present invention relates to systems and methods for the peer review, originality analysis, and contextual mark-up of formatted electronic documents. In particular, the present invention provides systems and methods that utilize layered peer review, originality analysis and contextual markup modules in one view. These systems and methods have many applications, including use for online editing and education.

Claims

1. A system for document analysis, comprising a processor and software configured to a) receive textual documents over an electronic communication network and convert textual documents into image files, identify text in said image files, wherein said text is mapped to the document image using a database comprising text of the document;

b) permit a user to add contextual markups to said image files wherein said contextual markups are images or HTML tags that are added to an invisible image that maps exactly onto each image of said image file, and wherein said image file is not modified, c) generate an originality report, wherein said generating said originality report comprises the step of highlighting said sections of said image file identified in the originality report as allegedly containing plagiarized text, wherein said highlighting is glyph aware highlighting that associates glyphs with images using the pixel coordinates of the image, which maps to a text database of said document; and

d) display said image file on a display screen, wherein said image file simultaneously displays said contextual markups and said highlights.

2. The system of claim 1, wherein said processor or software is further configured to store information pertaining to said received document in a database.

3. The system of claim 2, wherein said information is selected from the group consisting of identity of submitter, grade information, editorial comments, editorial rubrics, questions, and answers.

4. The system of claim 1, wherein said documents are selected from the group consisting of assignments, students'"'"' manuscripts, grant applications and journal manuscripts.

5. The system of claim 1, wherein said contextual markups are selected from the from the group consisting of editorial comments, peer reviewer comments, corrections, annotations, rubrics, symbols and comments added by said user.

6. The system of claim 1, wherein said highlighting scales with zooming.

7. The system of claim 1, wherein said highlighting is added across multiple lines or pages.

8. A method for generating contextual markups of formatted documents, comprising:

a) inputting a document into a system for document analysis, comprising a processor and software configured to a) receive textual documents over an electronic communication network and convert textual documents into image files, identify text in said image files, wherein said text is mapped to the document image using a database comprising text of the document;

b) permit a user to add contextual markups to said image files wherein said contextual markups are images or HTML tags that are added to an invisible image that maps exactly onto each image of said image file, and wherein said image file is not modified, c) generate an originality report, wherein said generating said originality report comprises the step of highlighting said sections of said image file identified in the originality report as allegedly containing plagiarized text, wherein said highlighting is glyph aware highlighting that associates glyphs with images using the pixel coordinates of the image, which maps to a text database of said document; and

d) display said image file on a display screen, wherein said image file simultaneously displays said contextual markups and said highlights;

b) adding contextual markups to said image document;

c) generating an originality report and highlighting sections of said image file that allegedly contain plagiarized text using said glyph aware highlighting; and

d) displaying said image containing said highlighting and said contextual markups, wherein said glyph aware highlighting and said contextual markups are displayed simultaneously.

9. The method of claim 8, wherein said processor or software is further configured to store information pertaining to said received document in a database.

10. The method of claim 9, wherein said information is selected from the group consisting of identity of submitter, grade information, editorial comments, editorial rubrics, questions, and answers.

11. The method of claim 8, wherein said documents are selected from the group consisting of assignments, students'"'"' manuscripts, grant applications and journal manuscripts.

12. The method of claim 8, wherein said contextual markups are selected from the from the group consisting of editorial comments, peer reviewer comments, corrections, annotations, rubrics, symbols and comments added by said user.

13. The method of claim 8, wherein said highlighting scales with zooming.

14. The method of claim 8, wherein said highlighting is added across multiple lines or pages.