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:
Mar. 17, 2009

Filed:

Dec. 15, 2003
Applicants:

Jian Wang, Beijing, CN;

Jian-lai Zhou, Beijing, CN;

Jiang Wu, Beijing, CN;

Hongyun Yang, Beijing, CN;

Xianfang Wang, Beijing, CN;

Wenli Zhu, Beijing, CN;

Inventors:

Jian Wang, Beijing, CN;

Jian-Lai Zhou, Beijing, CN;

Jiang Wu, Beijing, CN;

Hongyun Yang, Beijing, CN;

Xianfang Wang, Beijing, CN;

Wenli Zhu, Beijing, CN;

Assignee:

Microsoft Corporation, Redmond, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2006.01);
U.S. Cl.
CPC ...
Abstract

Systems, methods, and computer-readable media for processing electronic ink receive an electronic ink input; convert the electronic ink input to a first machine-generated object using handwriting recognition; display the first machine-generated object on a display; receive speech input; convert the speech input to a second machine-generated object using speech recognition; generate a list of machine-generated objects based on the electronic ink input, the list including the first machine-generated object and alternative machine-generated objects and functioning as a dictionary for converting the speech input; and replace the first machine-generated object with the second machine-generated object. A user may confirm that the second machine-generated object should replace the first machine-generated object. The systems and methods may generate a list of alternative machine-generated object candidates to the first machine-generated object based on handwriting recognition of the electronic ink input alone or in combination with a statistical language model.


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