The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 06, 2019

Filed:

Mar. 17, 2017
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Walter Chang, San Jose, CA (US);

Trung Bui, San Jose, CA (US);

Pranjal Daga, West Lafayette, IN (US);

Michael Kraley, Lexington, MA (US);

Hung Bui, Sunnyvale, CA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/22 (2006.01); G06F 17/27 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2775 (2013.01); G06F 17/2715 (2013.01); G06K 9/00469 (2013.01);
Abstract

Certain embodiments identify a correct structured reading-order sequence of text segments extracted from a file. A probabilistic language model is generated from a large text corpus to comprise observed word sequence patterns for a given language. The language model measures whether splicing together a first text segment with another continuation text segment results in a phrase that is more likely than a phrase resulting from splicing together the first text segment with other continuation text segments. Sets of text segments, which include a first set with a first text segment and a first continuation text segment as well as a second set with the first text segment and a second continuation text segment, are provided to the probabilistic model. A score indicative of a likelihood of the set providing a correct structured reading-order sequence is obtained for each set of text segments.


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