Patents by Inventor Yury Andreyevich Zemlyanskiy

Yury Andreyevich Zemlyanskiy 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).

  • MINING MULTI-LINGUAL DATA
    Publication number: 20180089178
    Abstract: Technology is disclosed for mining training data to create machine translation engines. Training data can be mined as translation pairs from single content items that contain multiple languages; multiple content items in different languages that are related to the same or similar target; or multiple content items that are generated by the same author in different languages. Locating content items can include identifying potential sources of translation pairs that fall into these categories and applying filtering techniques to quickly gather those that are good candidates for being actual translation pairs. When actual translation pairs are located, they can be used to retrain a machine translation engine as in-domain for social media content items.
    Type: Application
    Filed: November 27, 2017
    Publication date: March 29, 2018
    Inventors: Matthias Gerhard Eck, Ying Zhang, Yury Andreyevich Zemlyanskiy, Alexander Waibel
  • Mining multi-lingual data
    Patent number: 9864744
    Abstract: Technology is disclosed for mining training data to create machine translation engines. Training data can be mined as translation pairs from single content items that contain multiple languages; multiple content items in different languages that are related to the same or similar target; or multiple content items that are generated by the same author in different languages. Locating content items can include identifying potential sources of translation pairs that fall into these categories and applying filtering techniques to quickly gather those that are good candidates for being actual translation pairs. When actual translation pairs are located, they can be used to retrain a machine translation engine as in-domain for social media content items.
    Type: Grant
    Filed: December 3, 2014
    Date of Patent: January 9, 2018
    Assignee: Facebook, Inc.
    Inventors: Matthias Gerhard Eck, Ying Zhang, Yury Andreyevich Zemlyanskiy, Alexander Waibel
  • MINING MULTI-LINGUAL DATA
    Publication number: 20160162575
    Abstract: Technology is disclosed for mining training data to create machine translation engines. Training data can be mined as translation pairs from single content items that contain multiple languages; multiple content items in different languages that are related to the same or similar target; or multiple content items that are generated by the same author in different languages. Locating content items can include identifying potential sources of translation pairs that fall into these categories and applying filtering techniques to quickly gather those that are good candidates for being actual translation pairs. When actual translation pairs are located, they can be used to retrain a machine translation engine as in-domain for social media content items.
    Type: Application
    Filed: December 3, 2014
    Publication date: June 9, 2016
    Inventors: Matthias Gerhard Eck, Ying Zhang, Yury Andreyevich Zemlyanskiy, Alexander Waibel