Patents by Inventor Justin J. BRINEGAR

Justin J. BRINEGAR has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Natural language understanding using vocabularies with compressed serialized tries
    Patent number: 10445429
    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.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: October 15, 2019
    Assignee: Apple Inc.
    Inventors: Mubarak Ali Seyed Ibrahim, Juan C. Garcia, Rushin N. Shah, Nicholas K. Treadgold, Justin J. Brinegar, Gagan Aneja, Alan Qian
  • NATURAL LANGUAGE UNDERSTANDING USING VOCABULARIES WITH COMPRESSED SERIALIZED TRIES
    Publication number: 20190087412
    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.
    Type: Application
    Filed: January 10, 2018
    Publication date: March 21, 2019
    Inventors: Mubarak Ali SEYED IBRAHIM, Juan C. GARCIA, Rushin N. SHAH, Nicholas K. TREADGOLD, Justin J. BRINEGAR, Gagan Aneja, Alan Qian