Patents by Inventor Joseph Hayyim Benedict Osbourne

Joseph Hayyim Benedict Osbourne 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).

  • User input prediction
    Patent number: 10037319
    Abstract: A system for inputting text into an electronic device. The system comprises a candidate generator (2) configured to generate one or more candidates from an input sequence (20). The input sequence (20) comprises a contiguous sequence of characters. Each candidate comprises two or more terms separated by one or more term boundaries. The candidate generator (2) is configured to assign a first probability estimate to each candidate by: searching for one or more terms of that candidate in a context language model, wherein the context language model comprises sequences of terms, each sequence of terms having a corresponding probability of occurring; and assigning the probability corresponding to the one or more terms of that candidate from the context language model to the candidate. The candidate generator (2) is configured to discard one or more candidates on the basis of the corresponding first probability estimates. There is provided a corresponding method of inferring term boundaries in a user input sequence.
    Type: Grant
    Filed: July 25, 2014
    Date of Patent: July 31, 2018
    Assignee: TOUCHTYPE LIMITED
    Inventors: Benjamin William Medlock, Joseph Hayyim Benedict Osbourne
  • USER INPUT PREDICTION
    Publication number: 20140351741
    Abstract: A system for inputting text into an electronic device. The system comprises a candidate generator (2) configured to generate one or more candidates from an input sequence (20). The input sequence (20) comprises a contiguous sequence of characters. Each candidate comprises two or more terms separated by one or more term boundaries. The candidate generator (2) is configured to assign a first probability estimate to each candidate by: searching for one or more terms of that candidate in a context language model, wherein the context language model comprises sequences of terms, each sequence of terms having a corresponding probability of occurring; and assigning the probability corresponding to the one or more terms of that candidate from the context language model to the candidate. The candidate generator (2) is configured to discard one or more candidates on the basis of the corresponding first probability estimates. There is provided a corresponding method of inferring term boundaries in a user input sequence.
    Type: Application
    Filed: July 25, 2014
    Publication date: November 27, 2014
    Inventors: Benjamin William Medlock, Joseph Hayyim Benedict Osbourne