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:

May. 18, 2016
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yogesh A. Bute, Pune, IN;

Sandip P. Thube, Pune, IN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/21 (2006.01); G06F 17/27 (2006.01); G06F 16/31 (2019.01); H04W 8/20 (2009.01); H04L 29/08 (2006.01); H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
G06F 17/276 (2013.01); G06F 16/313 (2019.01); G06F 17/2735 (2013.01); H04L 67/306 (2013.01); H04W 8/205 (2013.01); H04L 51/063 (2013.01); H04L 67/00 (2013.01);
Abstract

In an approach to text prediction, a computer detects an initialization of a text-based communication between a first user and a second user. The computer determines whether a predictive text dictionary associated with the second user exists, wherein the predictive text dictionary is based, at least in part, on a history of communication between the first user and the second user. Responsive to determining a predictive text dictionary associated with the second user exists, the computer receives the text-based communication. The computer determines whether one or more words are detected in the text-based communication that do not exist in the predictive text dictionary associated with the second user. Responsive to determining one or more words are detected that do not exist in the predictive text dictionary associated with the second user, the computer adds the one or more new words to the predictive text dictionary associated with the second user.


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