Patents by Inventor Spence Green

Spence Green 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: 11625546
    Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores parameters of a multilingual neural review system and instructions executed by the processor to operate the multilingual neural review system trained on a corpus of source sentences, draft target sentences and corrected target sentences. The multilingual neural review system produces a corrected target sentence from a draft target sentence representing a proposed translation of the source sentence. The draft target sentence and the corrected target sentence are supplied to the network connected client device. Approval for the corrected target sentence is received from the network connected client device. Parameters of the multilingual neural review system are updated based upon the approval for the corrected target sentence.
    Type: Grant
    Filed: April 29, 2022
    Date of Patent: April 11, 2023
    Assignee: Lilt, Inc.
    Inventors: Aditya Shastry, Spence Green, Joern Wuebker, Geza Kovacs, Jessy Lin, John DeNero
  • Publication number: 20220261558
    Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores parameters of a multilingual neural review system and instructions executed by the processor to operate the multilingual neural review system trained on a corpus of source sentences, draft target sentences and corrected target sentences. The multilingual neural review system produces a corrected target sentence from a draft target sentence representing a proposed translation of the source sentence. The draft target sentence and the corrected target sentence are supplied to the network connected client device. Approval for the corrected target sentence is received from the network connected client device. Parameters of the multilingual neural review system are updated based upon the approval for the corrected target sentence.
    Type: Application
    Filed: April 29, 2022
    Publication date: August 18, 2022
    Inventors: Aditya Shastry, Spence Green, Joern Wuebker, Geza Kovacs, Jessy Lin, John DeNero
  • Patent number: 11361170
    Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores parameters of a multilingual neural review system and instructions executed by the processor to operate the multilingual neural review system trained on a corpus of source sentences, draft target sentences and corrected target sentences. The multilingual neural review system produces a corrected target sentence from a draft target sentence representing a proposed translation of the source sentence. The draft target sentence and the corrected target sentence are supplied to the network connected client device. Approval for the corrected target sentence is received from the network connected client device. Parameters of the multilingual neural review system are updated based upon the approval for the corrected target sentence.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: June 14, 2022
    Assignee: LILT, INC.
    Inventors: Aditya Shastry, Spence Green, Joern Wuebker, Geza Kovacs, Jessy Lin, John DeNero
  • Patent number: 10878201
    Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores parameters of a neural machine translation system and instructions executed by the processor to operate the neural machine translation system trained on a corpus of source sentences and corresponding target sentences. The neural machine translation system is trained to predict a target sentence from a source sentence. A translation hypothesis is formed for the source sentence to form the target sentence. The target sentence is supplied to the network connected client device. A correct translation is received from the network connected client device. Parameters of the neural machine translation system are updated based upon the correct translation.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: December 29, 2020
    Assignee: Lilt, Inc.
    Inventors: Joern Wuebker, Patrick Simianer, Spence Green
  • Patent number: 10346548
    Abstract: An apparatus has a network interface circuit to receive a source sentence from a network connected client device. A processor is connected to the network interface circuit. A memory is connected to the processor. The memory stores translation data and instructions executed by the processor. The instructions executed by the processor operate a neural machine translation system. A translation hypothesis is formed from a prefix of a target sentence comprising an initial sequence of target words supplied by a user through an interface. The hypothesis is generated by the neural machine translation system that performs a constrained prefix decoding that repeatedly predicts a next word from previous target words. A suffix of the target sentence comprising a final sequence of words corresponding to a final sequence of words in the source sentence is formed using a beam search that constrains translation to match the prefix.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: July 9, 2019
    Assignee: Lilt, Inc.
    Inventors: Joern Wuebker, Spence Green, Minh-Thang Luong, John DeNero