Patents by Inventor Nicola Bertoldi

Nicola Bertoldi 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).

  • Translation system and method
    Patent number: 11036940
    Abstract: System and method for providing a computer-assisted translation from a source language to a target language, using a generic NMT model and a translation memory. An input text segment is received, and input context information is received. The input context information is indicative of circumstances in which the input text segment is used, the input text segment being in the source language. An estimated translation of the input text segment into the target language is calculated, using a generic neural machine translation “NMT” model for providing a generalised machine translation from the source language to the target language, and a translation memory comprising translation elements; each translation element comprising a source language text segment, a corresponding target language text segment. The estimated translation is provided to a user, for correction by the user.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: June 15, 2021
    Assignee: MMT SRL
    Inventors: Nicola Bertoldi, Davide Caroselli, M. Amin Farajian, Marcello Federico, Matteo Negri, Marco Trombetti, Marco Turchi
  • Translation System and Method
    Publication number: 20200073947
    Abstract: System and method for providing a computer-assisted translation from a source language to a target language, using a generic NMT model and a translation memory. An input text segment is received, and input context information is received. The input context information is indicative of circumstances in which the input text segment is used, the input text segment being in the source language. An estimated translation of the input text segment into the target language is calculated, using a generic neural machine translation “NMT” model for providing a generalised machine translation from the source language to the target language, and a translation memory comprising translation elements; each translation element comprising a source language text segment, a corresponding target language text segment. The estimated translation is provided to a user, for correction by the user.
    Type: Application
    Filed: August 30, 2018
    Publication date: March 5, 2020
    Inventors: Nicola Bertoldi, Davide Caroselli, M. Amin Farajian, Marcello Federico, Matteo Negri, Marco Trombetti, Marco Turchi