Patents by Inventor BALAGURU SIVASAMBAGUPTA

BALAGURU SIVASAMBAGUPTA 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).

  • System and method for training a neural machine translation model
    Patent number: 11875141
    Abstract: The system and method for training a neural machine translation (NMT) model is disclosed wherein training data in terms of source statements and equivalent targets statements may be received. The source statements and equivalent targets statements may be encoded using source and target vocabulary respectively. A source-target map containing relation between tokens is created. The source statements and equivalent target statements is split into multiple fragments using fragments generator based on the source-target map. Such generated multiple fragments are used to train NMT model. Whenever the trained NMT model receives a source codes as input, the source codes are transformed to target codes.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: January 16, 2024
    Assignee: INFOSYS LIMITED
    Inventors: Kamalkumar Rathinasamy, Amanpreet Singh, Balaguru Sivasambagupta, Prajna Prasad Neerchal, Vani Sivasankaran
  • SYSTEM AND METHOD FOR TRAINING A NEURAL MACHINETRANSLATION MODEL
    Publication number: 20220164174
    Abstract: The system and method for training a neural machine translation (NMT) model is disclosed wherein training data in terms of source statements and equivalent targets statements may be received. The source statements and equivalent targets statements may be encoded using source and target vocabulary respectively. A source-target map containing relation between tokens is created. The source statements and equivalent target statements is split into multiple fragments using fragments generator based on the source-target map. Such generated multiple fragments are used to train NMT model. Whenever the trained NMT model receives a source codes as input, the source codes are transformed to target codes.
    Type: Application
    Filed: November 22, 2021
    Publication date: May 26, 2022
    Inventors: KAMALKUMAR RATHINASAMY, AMANPREET SINGH, BALAGURU SIVASAMBAGUPTA, PRAJNA PRASAD NEERCHAL, VANI SIVASANKARAN