Patents by Inventor Colin A. Cherry

Colin A. Cherry 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).

  • Patent number: 8082143
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Grant
    Filed: July 8, 2009
    Date of Patent: December 20, 2011
    Assignee: Microsoft Corporation
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Patent number: 7698124
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Grant
    Filed: December 16, 2004
    Date of Patent: April 13, 2010
    Assignee: Microsoft Corporaiton
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Publication number: 20090271177
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Application
    Filed: July 8, 2009
    Publication date: October 29, 2009
    Applicant: Microsoft Corporation
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Patent number: 7577562
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Grant
    Filed: December 16, 2004
    Date of Patent: August 18, 2009
    Assignee: Microsoft Corporation
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Patent number: 7505894
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Grant
    Filed: December 16, 2004
    Date of Patent: March 17, 2009
    Assignee: Microsoft Corporation
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Patent number: 7200550
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Grant
    Filed: December 16, 2004
    Date of Patent: April 3, 2007
    Assignee: Microsoft Corporation
    Inventors: Arul A. Menezes, Christopher B. Quirk, Colin A. Cherry
  • Publication number: 20060111892
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Application
    Filed: December 16, 2004
    Publication date: May 25, 2006
    Applicant: Microsoft Corporation
    Inventors: Arul Menezes, Christopher Quirk, Colin Cherry
  • Publication number: 20060111896
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Application
    Filed: December 16, 2004
    Publication date: May 25, 2006
    Applicant: Microsoft Corporation
    Inventors: Arul Menezes, Christopher Quirk, Colin Cherry
  • Publication number: 20060111891
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Application
    Filed: December 16, 2004
    Publication date: May 25, 2006
    Applicant: Microsoft Corporation
    Inventors: Arul Menezes, Christopher Quirk, Colin Cherry
  • Publication number: 20060095248
    Abstract: In one embodiment of the present invention, a decoder receives a dependency tree as a source language input and accesses a set of statistical models that produce outputs combined in a log linear framework. The decoder also accesses a table of treelet translation pairs and returns a target dependency tree based on the source dependency tree, based on access to the table of treelet translation pairs, and based on the application of the statistical models.
    Type: Application
    Filed: December 16, 2004
    Publication date: May 4, 2006
    Applicant: Microsoft Corporation
    Inventors: Arul Menezes, Christopher Quirk, Colin Cherry