Patents by Inventor Naomi Magen

Naomi Magen 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).

  • Computer-implemented method and apparatus for encoding natural-language text content and/or detecting plagiarism
    Patent number: 9213847
    Abstract: A computer-implemented letter-based method of encoding a length-significant portion of natural language text to generate a letter-based fingerprint of the text portion, the method including detecting letter-based locations of occurrences of pre-determined single-letter and/or multi-letter pattern(s) within the length-significant portion, the detecting being carried out such that at least some occurrences are detected in a word-boundary independent manner that does not depend on locations of word-word boundaries, for a pattern occurrence letter-position signal which describes letter positions of the occurrences of the patterns within the text portion, computing frequency-dependent absolute or relative magnitudes of signal strength for a plurality of frequencies, the computed magnitudes representing letter-based frequencies of the pattern occurrences within the natural language text portion, and storing the computed signal strength magnitudes at the plurality of frequencies, the generated fingerprint comprising
    Type: Grant
    Filed: September 7, 2011
    Date of Patent: December 15, 2015
    Assignee: CISCO TECHNOLOGY, INC.
    Inventors: Eyal Farkash, Naomi Magen, Erez Waisbard, Eliphaz Hibshoosh
  • Computer-Implemented Method and Apparatus for Encoding Natural-Language Text Content And/Or Detecting Plagiarism
    Publication number: 20140075566
    Abstract: A computer-implemented letter-based method of encoding a length-significant portion of natural language text to generate a letter-based fingerprint of the text portion, the method including detecting letter-based locations of occurrences of pre-determined single-letter and/or multi-letter pattern(s) within the length-significant portion, the detecting being carried out such that at least some occurrences are detected in a word-boundary independent manner that does not depend on locations of word-word boundaries, for a pattern occurrence letter-position signal which describes letter positions of the occurrences of the patterns within the text portion, computing frequency-dependent absolute or relative magnitudes of signal strength for a plurality of frequencies, the computed magnitudes representing letter-based frequencies of the pattern occurrences within the natural language text portion, and storing the computed signal strength magnitudes at the plurality of frequencies, the generated fingerprint comprising
    Type: Application
    Filed: September 7, 2011
    Publication date: March 13, 2014
    Applicant: Cisco Technology Inc.
    Inventors: Eyal Farkash, Naomi Magen, Erez Waisbard, Eliphaz Hibshoosh