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:
Feb. 04, 2020

Filed:

Feb. 04, 2018
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Sangsoo Sung, Palo Alto, CA (US);

Yuli Gao, Sunnyvale, CA (US);

Prathab Murugesan, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 16/9032 (2019.01); G10L 17/22 (2013.01); G06F 16/242 (2019.01); G06F 16/22 (2019.01); G10L 15/19 (2013.01); G10L 15/30 (2013.01); G06F 16/33 (2019.01); G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
G06F 16/90324 (2019.01); G06F 16/2228 (2019.01); G06F 16/243 (2019.01); G06F 16/2425 (2019.01); G10L 15/19 (2013.01); G10L 15/30 (2013.01); G10L 17/22 (2013.01); G06F 16/3344 (2019.01); G06F 17/271 (2013.01); G06F 17/274 (2013.01);
Abstract

An offline semantic processor of a resource-constrained voice-enabled device such as a mobile device utilizes an offline grammar model with reduced resource requirements to parse voice-based queries received by the device. The offline grammar model may be generated from a larger and more comprehensive grammar model used by an online voice-based query processor, and the generation of the offline grammar model may be based upon query usage data collected from one or more users to enable a subset of more popular voice-based queries from the online grammar model to be incorporated into the offline grammar model. In addition, such a device may collect query usage data and upload such data to an online service to enable an updated offline grammar model to be generated and downloaded back to the device and thereby enable a dynamic update of the offline grammar model to be performed.


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