Patents by Inventor Anton Carver

Anton Carver 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).

  • Encoding and adaptive, scalable accessing of distributed models
    Patent number: 10885285
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Grant
    Filed: August 29, 2018
    Date of Patent: January 5, 2021
    Assignee: Google LLC
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS
    Publication number: 20190018843
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Application
    Filed: August 29, 2018
    Publication date: January 17, 2019
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • Encoding and adaptive, scalable accessing of distributed models
    Patent number: 10089304
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Grant
    Filed: April 6, 2017
    Date of Patent: October 2, 2018
    Assignee: Google LLC
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS
    Publication number: 20170212887
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Application
    Filed: April 6, 2017
    Publication date: July 27, 2017
    Applicant: Google Inc.
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • Encoding and adaptive, scalable accessing of distributed models
    Patent number: 9619465
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Grant
    Filed: May 23, 2014
    Date of Patent: April 11, 2017
    Assignee: GOOGLE INC.
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • ENCODING AND ADAPTIVE, SCALABLE ACCESSING OF DISTRIBUTED MODELS
    Publication number: 20140257787
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Application
    Filed: May 23, 2014
    Publication date: September 11, 2014
    Applicant: GOOGLE INC.
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • Organization system for ad campaigns
    Patent number: 8793238
    Abstract: An automatic account organization tool is provided to organize a large adgroup into smaller adgroups with semantically meaningful names. For example, a set of input keywords is received, semantically related pairs of keywords are identified from the set of input keywords, and hierarchical clustering is applied to the pairs of keywords to identify a set of clusters of keywords, each cluster having semantically related keywords. A name can be determined for each of the clusters.
    Type: Grant
    Filed: February 5, 2013
    Date of Patent: July 29, 2014
    Assignee: Google Inc.
    Inventors: Anton Carver, Will Ashton, Nick Jakobi
  • Encoding and adaptive, scalable accessing of distributed models
    Patent number: 8738357
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Grant
    Filed: October 22, 2012
    Date of Patent: May 27, 2014
    Assignee: Google Inc.
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • Organization system for ad campaigns
    Patent number: 8392396
    Abstract: An automatic account organization tool is provided to organize a large adgroup into smaller adgroups with semantically meaningful names. For example, a set of input keywords is received, semantically related pairs of keywords are identified from the set of input keywords, and hierarchical clustering is applied to the pairs of keywords to identify a set of clusters of keywords, each cluster having semantically related keywords. A name can be determined for each of the clusters.
    Type: Grant
    Filed: May 8, 2012
    Date of Patent: March 5, 2013
    Assignee: Google Inc.
    Inventors: Anton Carver, Will Ashton, Nick Jakobi
  • Encoding and adaptive, scalable accessing of distributed models
    Patent number: 8296123
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Grant
    Filed: February 16, 2007
    Date of Patent: October 23, 2012
    Assignee: Google Inc.
    Inventors: Ignacio E. Thayer, Franz Josef Och, Alexander Mark Franz, Jeffrey Dean, Thorsten Brants, Jay M. Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen
  • Organization system for ad campaigns
    Patent number: 8180760
    Abstract: An automatic account organization tool is provided to organize a large adgroup into smaller adgroups with semantically meaningful names. For example, a set of input keywords is received, semantically related pairs of keywords are identified from the set of input keywords, and hierarchical clustering is applied to the pairs of keywords to identify a set of clusters of keywords, each cluster having semantically related keywords. A name can be determined for each of the clusters.
    Type: Grant
    Filed: December 20, 2007
    Date of Patent: May 15, 2012
    Assignee: Google Inc.
    Inventors: Anton Carver, Will Ashton, Nick Jakobi
  • Encoding and Adaptive, Scalable Accessing of Distributed Models
    Publication number: 20080262828
    Abstract: Systems, methods, and apparatus for accessing distributed models in automated machine processing, including using large language models in machine translation, speech recognition and other applications.
    Type: Application
    Filed: February 16, 2007
    Publication date: October 23, 2008
    Applicant: GOOGLE INC.
    Inventors: Franz Josef Och, Jeffrey Dean, Thorsten Brants, Alexander Mark Franz, Jay Ponte, Peng Xu, Sha-Mayn Teh, Jeffrey Chin, Ignacio E. Thayer, Anton Carver, Daniel Rosart, John S. Hawkins, Karel Driesen