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:
Oct. 15, 2019

Filed:

Jan. 10, 2018
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Mubarak Ali Seyed Ibrahim, San Jose, CA (US);

Juan C. Garcia, San Francisco, CA (US);

Rushin N. Shah, Santa Clara, CA (US);

Nicholas K. Treadgold, South Coogee, AU;

Justin J. Brinegar, San Jose, CA (US);

Gagan Aneja, Milpitas, CA (US);

Alan Qian, San Jose, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01); G10L 15/22 (2006.01); G10L 15/26 (2006.01); G10L 15/18 (2013.01);
U.S. Cl.
CPC ...
G06F 17/2785 (2013.01); G06F 17/27 (2013.01); G06F 17/2705 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G10L 15/26 (2013.01);
Abstract

Systems and processes for natural language processing using vocabularies with compressed serialized tries are described in the present disclosure. In one example process, natural language input is received. The natural language input is parsed, using a vocabulary, to determine a corresponding user intent. The parsing includes using a data structure of the vocabulary to map a first word of the natural language input to first semantic information and a second word of the natural language input to second semantic information. The data structure includes pointers that map to a same semantic data object of the vocabulary. The first semantic information and the second semantic information are determined using the same semantic data object. The user intent is determined based on the first semantic information and the second semantic information. Performance of a task corresponding to the determined user intent is initiated.


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