Patents by Inventor Rachel I. Morton

Rachel I. Morton 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: 8990088
    Abstract: A runtime framework and authoring tool are provided for enabling linguistic experts to author text normalization maps and grammar libraries without requiring high level of technical or programming skills. Authors define or select terminals, map the terminals, and define rules for the mapping. The tool enables an author to validate their work, by executing the map in the same way the recognition engine does, causing consistency in results from authoring to user operations. The runtime is used by the speech engines and by the tools to provide consistent normalization for supported scenarios.
    Type: Grant
    Filed: January 28, 2009
    Date of Patent: March 24, 2015
    Assignee: Microsoft Corporation
    Inventors: Rachel I. Morton, Nicholas J. Gedge, Heiko W. Rahmel
  • Patent number: 7788096
    Abstract: The present invention automatically builds question sets for a decision tree. Under the invention, mutual information is used to cluster tokens, representing either phones or letters. Each cluster is formed so as to limit the loss in mutual information in a set of training data caused by the formation of the cluster. The resulting sets of clusters represent questions that can be used at the nodes of the decision tree.
    Type: Grant
    Filed: September 3, 2002
    Date of Patent: August 31, 2010
    Assignee: Microsoft Corporation
    Inventors: Ciprian I. Chelba, Rachel I. Morton
  • Publication number: 20100191519
    Abstract: A runtime framework and authoring tool are provided for enabling linguistic experts to author text normalization maps and grammar libraries without requiring high level of technical or programming skills. Authors define or select terminals, map the terminals, and define rules for the mapping. The tool enables an author to validate their work, by executing the map in the same way the recognition engine does, causing consistency in results from authoring to user operations. The runtime is used by the speech engines and by the tools to provide consistent normalization for supported scenarios.
    Type: Application
    Filed: January 28, 2009
    Publication date: July 29, 2010
    Applicant: Microsoft Corporation
    Inventors: Rachel I. Morton, Nicholas J. Gedge, Heiko W. Rahmel
  • Patent number: 7630892
    Abstract: A method and apparatus are provided that perform text normalization and inverse text normalization using a single grammar. During text normalization, a finite state transducer identifies a second string of symbols from a first string of symbols it receives. During inverse text normalization, the context free transducer identifies the first string of symbols after receiving the second string of symbols.
    Type: Grant
    Filed: September 10, 2004
    Date of Patent: December 8, 2009
    Assignee: Microsoft Corporation
    Inventors: Qiang Wu, Rachel I. Morton, Li Jiang
  • Publication number: 20040044528
    Abstract: The present invention automatically builds question sets for a decision tree. Under the invention, mutual information is used to cluster tokens, representing either phones or letters. Each cluster is formed so as to limit the loss in mutual information in a set of training data caused by the formation of the cluster. The resulting sets of clusters represent questions that can be used at the nodes of the decision tree.
    Type: Application
    Filed: September 3, 2002
    Publication date: March 4, 2004
    Inventors: Ciprian I. Chelba, Rachel I. Morton