Patents by Inventor C. Thomas Rutherfoord

C. Thomas Rutherfoord 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).

  • Method for preserving contextual accuracy in an extendible speech recognition language model
    Patent number: 7103533
    Abstract: A method of generating language model statistics for a new word added to a language model incorporating at least one class file containing contextually related words. The method can include the following steps: First, language model statistics can be computed based on references to at least one incorporated class file. Second, a new word can be substituted for each reference to a selected class file. Additionally, the language model statistics can be re-computed based on the new word having been substituted for the reference. Third, the re-computed language model statistics can be displayed in a user interface and modifications can be accepted to the re-computed language model statistics through the user interface. Fourth, the language model statistics can be further re-computed based on the modifications. In consequence, the language model statistics are re-computed for the new word without introducing contextual inaccuracies in the language model.
    Type: Grant
    Filed: February 21, 2001
    Date of Patent: September 5, 2006
    Assignee: International Business Machines Corporation
    Inventors: James R. Lewis, Kerry A. Ortega, C. Thomas Rutherfoord, Maria E. Smith
  • Method for preserving contextual accuracy in an extendible speech recognition language model
    Publication number: 20020116194
    Abstract: A method of generating language model statistics for a new word added to a language model incorporating at least one class file containing contextually related words. The method can include the following steps: First, language model statistics can be computed based on references to at least one incorporated class file. Second, a new word can be substituted for each reference to a selected class file. Additionally, the language model statistics can be re-computed based on the new word having been substituted for the reference. Third, the re-computed language model statistics can be displayed in a user interface and modifications can be accepted to the re-computed language model statistics through the user interface. Fourth, the language model statistics can be further re-computed based on the modifications. In consequence, the language model statistics are re-computed for the new word without introducing contextual inaccuracies in the language model.
    Type: Application
    Filed: February 21, 2001
    Publication date: August 22, 2002
    Applicant: International Business Machines Corporation
    Inventors: James R. Lewis, Kerry A. Ortega, C. Thomas Rutherfoord, Maria E. Smith