Patents by Inventor Chang Uk SHIN

Chang Uk SHIN 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).

  • Device for automatically detecting morpheme part of speech tagging corpus error by using rough sets, and method therefor
    Patent number: 11074406
    Abstract: A device for detecting a morpheme tagging corpus error, of the present invention, includes: an attribute generating unit for generating attributes for word phrases included in an input corpus, by using a kernel to which a rough set theory is applied; and an attribute statistics processing unit for generating part-of-speech tagging corpus error data through the calculation of attributes and frequency count for the same word phrases by counting attributes for the same word phrase among the word phrases, and thus the present invention can detect, quantify, and modify errors included in a corpus (learning data) required in learning for classifier generation and recognition for natural language processing.
    Type: Grant
    Filed: June 29, 2017
    Date of Patent: July 27, 2021
    Assignee: CHANGWON NATIONAL UNIVERSITY INDUSTRY UNIVERSITY COOPERATION FOUNDATION
    Inventors: Jeong Won Cha, Tae Ho Park, Chang Uk Shin, Da Sol Park, Seong Jae Park
  • DEVICE FOR AUTOMATICALLY DETECTING MORPHEME PART OF SPEECH TAGGING CORPUS ERROR BY USING ROUGH SETS, AND METHOD THEREFOR
    Publication number: 20200065369
    Abstract: A device for detecting a morpheme tagging corpus error, of the present invention, includes: an attribute generating unit for generating attributes for word phrases included in an input corpus, by using a kernel to which a rough set theory is applied; and an attribute statistics processing unit for generating part-of-speech tagging corpus error data through the calculation of attributes and frequency count for the same word phrases by counting attributes for the same word phrase among the word phrases, and thus the present invention can detect, quantify, and modify errors included in a corpus (learning data) required in learning for classifier generation and recognition for natural language processing.
    Type: Application
    Filed: June 29, 2017
    Publication date: February 27, 2020
    Applicant: CHANGWON NATIONAL UNIVERSITY INDUSTRY UNIVERSITY COOPERATION FOUNDATION
    Inventors: Jeong Won CHA, Tae Ho PARK, Chang Uk SHIN, Da Sol PARK, Seong Jae PARK