Patents by Inventor Young Ao Seo

Young Ao Seo 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 and apparatus for detecting errors in machine translation using parallel corpus
    Patent number: 8606559
    Abstract: A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.
    Type: Grant
    Filed: June 26, 2009
    Date of Patent: December 10, 2013
    Assignee: Electronics and Telecommunications Research Institute
    Inventors: Yun Jin, Oh Woog Kwon, Ying Shun Wu, Changhao Yin, Sung Kwon Choi, Chang Hyun Kim, Seong Il Yang, Ki Young Lee, Yoon Hyung Roh, Young Ao Seo, Eun Jin Park, Young Kii Kim, Sang Kyu Park
  • METHOD AND APPARATUS FOR DETECTING ERRORS IN MACHINE TRANSLATION USING PARALLEL CORPUS
    Publication number: 20100070261
    Abstract: A method for automatically detecting errors in machine translation using a parallel corpus includes analyzing morphemes of a target language sentence in the parallel corpus and a machine-translated target language sentence, corresponding to a source language sentence, to classify the morphemes into words; aligning by words and decoding, respectively, a group of the source language sentence and the machine-translated target language sentence, and a group of the source language sentence and the target language sentence in the parallel corpus; classifying by types errors in the machine-translated target language sentence by making a comparison, word by word, between the decoded target language sentence in the parallel corpus and the decoded machine-translated target language sentence; and computing error information in the machine-translated target language sentence by examining a frequency of occurrence of the classified error types.
    Type: Application
    Filed: June 26, 2009
    Publication date: March 18, 2010
    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
    Inventors: Yun Jin, Oh Woog Kwon, Ying Shun Wu, Changhao Yin, Sung Kwon Choi, Chang Hyun Kim, Seong Il Yang, Ki Young Lee, Yoon Hyung Roh, Young Ao Seo, Eun Jin Park, Young Kii Kim, Sang Kyu Park