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. 06, 2018

Filed:

Mar. 06, 2015
Applicant:

Nuance Communications, Inc., Burlington, MA (US);

Inventors:

Martin Labský, Prague, CZ;

Ladislav Kunc, Hlusice, CZ;

Jan Kleindienst, Nove Straseci, CZ;

Tomás Macek, Zizkov, CZ;

Bart D'hoore, Aalter, BE;

Assignee:

Nuance Communications, Inc., Burlington, MA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/20 (2006.01); G06F 17/21 (2006.01); G10L 15/26 (2006.01); G10L 21/00 (2013.01); G10L 15/18 (2013.01); G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G10L 15/18 (2013.01); G06F 17/279 (2013.01);
Abstract

Methods, devices, and computer program products for recognizing and responding to natural language input are described herein. Natural language input is received at a natural language input interface of a computing device and transformed into computer-usable text. A natural language input recognizer obtains evidence from one or more evidence source and generates an evidence graph based on the evidence obtained. Evidence may be obtained asynchronously, and the natural language input recognizer may update the evidence graph upon receipt of additional evidence. The natural language input recognizer generates a set of recognition hypotheses based on the evidence graph and selects one of the recognition hypotheses as a recognition result for the natural language input. Semantic models, evidence models, and response models may be employed to generate the evidence graph and respond to the recognition result selected for the natural language input.


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