Natural input recognition tool

Details Natural input recognition tool Natural input recognition tool

2008-05-27

2008-05-27

Fleurantin, Jean B. (Department: 2162)

Data processing: presentation processing of document, operator i

Presentation processing of document

Annotation control

C715S263000, C715S268000, C704S003000, C704S009000, C704S235000, C704S251000, C704S257000

Reexamination Certificate

active

07380203

ABSTRACT:
A recognition tool according to various examples of the invention intelligently recognizes natural input before it is passed to a destination or target application. More particularly, the recognition tool according to various examples of the invention provides better formatting for text recognized from natural input, based upon the context in which the text is being inserted into a target application. The recognition tool also provides various tools for correcting inaccurately recognized text. The recognition tool may allow a user to select only a part of an inaccurate text, and then identify alternate text candidates based upon the selected portion of the inaccurate text. Further, when the user selects text containing multiple words for correction, the recognition tool provides cross combinations of alternate text candidates for the user's selection. Still further, if the user replaces inaccurate text by submitting a new natural input object, the recognition tool ensures that the text recognized from the new natural input object is different from the inaccurate text been replaced. The recognition tool additionally affects the recognition experience after recognized text has been provided to the target application. The recognition tool provides the target application with the original natural input object for the recognized text, along with the alternate text candidates for that original natural input object. Thus, the target application can use the alternate text candidates to correct inaccurately recognized text. Further, a user can insert the original natural input object for recognized text within the target application.

REFERENCES:
patent: 4829576 (1989-05-01), Porter
patent: 4994966 (1991-02-01), Hutchins
patent: 5070478 (1991-12-01), Abbott
patent: 5434777 (1995-07-01), Luciw
patent: 5500920 (1996-03-01), Kupiec
patent: 5500937 (1996-03-01), Thompson-Rohrlich
patent: 5608624 (1997-03-01), Luciw
patent: 5617488 (1997-04-01), Hong et al.
patent: 5625814 (1997-04-01), Luciw
patent: 5652898 (1997-07-01), Kaji
patent: 5710831 (1998-01-01), Beernink et al.
patent: 5748841 (1998-05-01), Morin et al.
patent: 5799273 (1998-08-01), Mitchell et al.
patent: 5799279 (1998-08-01), Gould et al.
patent: 5805775 (1998-09-01), Eberman et al.
patent: 5850480 (1998-12-01), Scanlon
patent: 5909666 (1999-06-01), Gould et al.
patent: 5920836 (1999-07-01), Gould et al.
patent: 5933531 (1999-08-01), Lorie
patent: 5999896 (1999-12-01), Richardson et al.
patent: 6005973 (1999-12-01), Seybold et al.
patent: 6061646 (2000-05-01), Martino et al.
patent: 6064959 (2000-05-01), Young et al.
patent: 6081774 (2000-06-01), de Hita et al.
patent: 6088671 (2000-07-01), Gould et al.
patent: 6122613 (2000-09-01), Baker
patent: 6138098 (2000-10-01), Shieber et al.
patent: 6175820 (2001-01-01), Dietz
patent: 6246981 (2001-06-01), Papineni et al.
patent: 6260015 (2001-07-01), Wang et al.
patent: 6327566 (2001-12-01), Vanbuskirk et al.
patent: 6434526 (2002-08-01), Cilurzo et al.
patent: 6434547 (2002-08-01), Mishelevich et al.
patent: 6457031 (2002-09-01), Hanson
patent: 6510453 (2003-01-01), Apfel et al.
patent: 6514201 (2003-02-01), Greenberg
patent: 6684188 (2004-01-01), Mitchell et al.
patent: 6839669 (2005-01-01), Gould et al.
patent: 6904405 (2005-06-01), Suominen
patent: 6986106 (2006-01-01), Soin et al.
patent: 2002/0010714 (2002-01-01), Hetherington
patent: 2002/0072914 (2002-06-01), Alshawi et al.
patent: 2002/0143544 (2002-10-01), Gschwendtner
patent: 2002/0188452 (2002-12-01), Howes
patent: 2003/0055655 (2003-03-01), Suominen
patent: 2003/0130843 (2003-07-01), Ky
patent: 2003/0212961 (2003-11-01), Soin et al.
patent: 2004/0205448 (2004-10-01), Grefenstette et al.
patent: 2004/0205671 (2004-10-01), Sukehiro et al.
Lai, Jennifer, et al., “MedSpeak: Report Creation With Continuous Speech Recognition”, CH197 Electronic Publications, Mar. 22-27, 1997, pp. 1-13 (downloaded from: http://sigchi.org/chi97/proceedings/paper/jcl.htm).
Heifetz, Laurence J., “Choosing the Right EMR System”, Oncology Issues, Sep./Oct. 2001, pp. 18-21.
“Senior Technician on Voice Recognition, vol. III”, Jan. 1997, pp. 1-11 (downloaded from: http://www.pbol.com/voice—recognition/voice—article.htm).
IBM ViaVoice for Windows Personal Edition, User's Guide Release 8, International Business Machines Corp., Aug. 2000, pp. 19-25, 39-49 and 51-69.
Deitel, H. M., et al., Java: How to Program, 2nd Edition, Prentice Hall, Upper Saddle River, NJ, © 1998, pp. 74, 419-420, 423, 438-439 and 993.
Rubin, Charles, Running Microsoft Word 2000, Microsoft Press, Redmond, WA, © 1999, pp. 4-5, 60-70, 82, 187 and 190-207.
Suhm, Bernhard, et al., “Multimodal Error Correction for Speech User Interfaces”, ACM Transactions on Computer-Human Interaction, vol. 8, No. 1, Mar. 2001, pp. 60-98.
Masui, Toshiyuki, “An Efficient Text Input Method for Pen-Based Computers”, CHI 98, Los Angeles, CA, Apr. 18-23, 1998, pp. 328-335.
Schwartz, R., et al., “Context-Dependent Modeling For Acoustic-Phonetic Recognition of Continuus Speech”, IEEE Doc. # CH2118-8/85/0000-1205, © 1985, pp. 1205-1208.
Vo, Minh Tue, et al., “Building An Application Framework For Speech and Pen Input Integraion in Multimodal Learning Interfaces”, IEEE Doc. # 0-7803-3192-3/96, © 1996, pp. 3545-3548.
Camarda, Bill, Special Edition Using Microsoft Word ′97, Que Corp., Indianapolis, IN, © 1997, pp. 54-55 and 199-200.
Hürst, Wolfgang, et al., “Error repair in Human Handwriting—An Intelligent User Interface for Automatic On-Line Handwriting Recognition”, IEEE Doc. # 0-8186-8548-4/98, © 1998, pp. 389-396.
Schomaker, L., “From Handwriting Analysis to Pen-Computer Applications”, Electronics & Communication Engineering Journal, Jun. 1998, pp. 93-102.
Poupyrev, Ivan, et al., “Virtual Notepad: Handwriting in Immersive VR”, IEEE Doc. # 0-8186-8362-7/98, © 1998, pp. 126-132.
Bott, Ed, et al., Special Edition Using Microsoft Office XP, Que Corp., Indianapolis, IN, May 2001, pp. 46-49, 90-99, 370-378, 380-383 and 392-396.
Moseley, Lonnie E., et al., Mastering Microsoft Office 97, Professional Edition (2nd Edition), Sybex Inc., Alameda, CA, # 1997, pp. 96-97 and 152-161.
Zick, Robert G., et al., “Voice Recognition Software Versus a Traditional Transcription Service for Physician Charting in the ED”, The American Journal of Emergency Medicine, vol. 19, Issue 4, Jul. 2001, pp. 295-298.
Kim, Gyeonghwan, et al., “An Architecture for Handwritten Text Recognition Systems”, IJDAR 1999, vol. 2, No. 1, Jul. 1999, pp. 37-44.
Mankoff, Jennifer, et al., “Interaction Techniques for Ambiguity Resolution in Recognition-Based Interfaces”, UIST ′00, San Diego, CA, Nov. 6-8, 2000, pp. 11-20.

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