Patents by Inventor Jeong In Cha

Jeong In Cha 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).

  • Patent number: 7487082
    Abstract: Generating a transfer dictionary used in a transfer-based translation machine system. A pair of source/target language sentences are received. The source language sentence comprises at least one marked idiom, at least one argument and at least one marked collocation. The target language sentence comprises the target language translation for the idiom and the source language word(s) for the argument. The source language sentence is parsed to generate a source language syntactic tree. Nodes are extracted from the source language syntactic tree. A least common ancestor node of the extracted nodes is calculated and source language structure information is generated based on the source language syntactic tree data structure. Target language structure information is generated by adding the part-of-speech information to each morpheme in the target language sentence and by replacing each source language word in the target language with the corresponding syntactic information within the source language syntactic tree.
    Type: Grant
    Filed: December 3, 2007
    Date of Patent: February 3, 2009
    Assignee: International Business Machines Corporation
    Inventors: Seong Mook Kim, Chang Woo Min, Sang Chul Kang, Jeong In Cha
  • Patent number: 7330810
    Abstract: Generating a transfer dictionary used in a transfer-based translation machine system. A pair of source/target language sentences are received. The source language sentence comprises at least one marked idiom, at least one argument and at least one marked collocation. The target language sentence comprises the target language translation for the idiom and the source language word(s) for the argument. The source language sentence is parsed to generate a source language syntactic tree. Nodes are extracted from the source language syntactic tree. A least common ancestor node of the extracted nodes is calculated and source language structure information is generated based on the source language syntactic tree data structure. Target language structure information is generated by adding the part-of-speech information to each morpheme in the target language sentence and by replacing each source language word in the target language with the corresponding syntactic information within the source language syntactic tree.
    Type: Grant
    Filed: June 5, 2003
    Date of Patent: February 12, 2008
    Assignee: International Business Machines Corporation
    Inventors: Seong Mook Kim, Chang Woo Min, Sang Chul Kang, Jeong In Cha
  • Publication number: 20030233226
    Abstract: Generating a transfer dictionary used in a transfer-based translation machine system. A pair of source/target language sentences are received. The source language sentence comprises at least one marked idiom, at least one argument and at least one marked collocation. The target language sentence comprises the target language translation for the idiom and the source language word(s) for the argument. The source language sentence is parsed to generate a source language syntactic tree. Nodes are extracted from the source language syntactic tree. A least common ancestor node of the extracted nodes is calculated and source language structure information is generated based on the source language syntactic tree data structure. Target language structure information is generated by adding the part-of-speech information to each morpheme in the target language sentence and by replacing each source language word in the target language with the corresponding syntactic information within the source language syntactic tree.
    Type: Application
    Filed: June 5, 2003
    Publication date: December 18, 2003
    Applicant: International Business Machines Corporation
    Inventors: Seong Mook Kim, Chang Woo Min, Sang Chul Kang, Jeong In Cha