Patents by Inventor Shouxun Lin

Shouxun Lin 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: 10303775
    Abstract: The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.
    Type: Grant
    Filed: May 1, 2018
    Date of Patent: May 28, 2019
    Assignee: ELEVEN STREET CO., LTD.
    Inventors: Young Sook Hwang, Sang-Bum Kim, Shouxun Lin, Zhaopeng Tu, Yang Liu, Qun Liu, Chang Hao Yin
  • Publication number: 20180314690
    Abstract: The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.
    Type: Application
    Filed: May 1, 2018
    Publication date: November 1, 2018
    Inventors: Young Sook Hwang, Sang-Bum Kim, Shouxun Lin, Zhaopeng Tu, Yang Liu, Qun Liu, Chang Hao Yin
  • Patent number: 8543376
    Abstract: Disclosed are a joint decoding apparatus and a joint decoding method that joins a tokenization process and a translation process. More particularly, the present disclosure can generate all available candidate tokens, reduce translation errors, and obtain an optimal translation result by jointly conducting a decoding by simultaneously conducting the tokenization process and the translation process for an input character sequence while decoding.
    Type: Grant
    Filed: May 25, 2011
    Date of Patent: September 24, 2013
    Assignee: SK Planet Co., Ltd
    Inventors: Young Sook Hwang, Sang-Bum Kim, Chang Hao Yin, Xinyan Xiao, Yang Liu, Qun Liu, Shouxun Lin
  • Publication number: 20130158975
    Abstract: The present invention relates to the use of a plurality of dependency trees in tree-based statistical machine translation and proposes a dependency forest to effectively process the plurality of dependency trees. The present invention can improve a translation capability by generating a translation rule and a dependency language model by using the dependency forest and applying the generated translation rule and dependency language model when a source language text is converted to a target language text.
    Type: Application
    Filed: May 31, 2011
    Publication date: June 20, 2013
    Applicant: SK PLANET CO., LTD.
    Inventors: Young Sook Hwang, Sang-Bum Kim, Shouxun Lin, Zhaopeng Tu, Yang Liu, Qun Liu, Chang Hao Yin
  • Publication number: 20130132064
    Abstract: Disclosed are a joint decoding apparatus and a joint decoding method that joins a tokenization process and a translation process. More particularly, the present disclosure can generate all available candidate tokens, reduce translation errors, and obtain an optimal translation result by jointly conducting a decoding by simultaneously conducting the tokenization process and the translation process for an input character sequence while decoding.
    Type: Application
    Filed: May 25, 2011
    Publication date: May 23, 2013
    Applicant: SK PLANET CO., LTD.
    Inventors: Young Sook Hwang, Sang-Bum Kim, Chang Hao Yin, Xinyan Xiao, Yang Liu, Qun Liu, Shouxun Lin