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US Patent 10445429 Natural language understanding using vocabularies with compressed serialized tries

Patent 10445429 was granted and assigned to Apple (company) on October, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
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Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104454290
Patent Inventor Names
Rushin N. Shah0
Justin J. Brinegar0
Mubarak Ali Seyed Ibrahim0
Nicholas K. Treadgold0
Alan Qian0
Gagan Aneja0
Juan C. Garcia0
Date of Patent
October 15, 2019
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Patent Application Number
158674800
Date Filed
January 10, 2018
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Patent Citations Received
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US Patent 12126878 Displaying information related to content playing on a device
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US Patent 10811014 Contact list reconciliation and permissioning
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US Patent 10841657 Reminders of media content referenced in other media content
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US Patent 11064266 Methods and devices for clarifying audible video content
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US Patent 11329932 Visual design of a conversational bot
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US Patent 11350173 Reminders of media content referenced in other media content
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US Patent 11354368 Displaying information related to spoken dialogue in content playing on a device
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US Patent 11367447 System and method for digital content development using a natural language interface
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Patent Primary Examiner
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Samuel G Neway
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Patent 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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