Patents Assigned to PROXEM
  • Patent number: 11055370
    Abstract: A method for automatically constructing inter-language queries performed by a search engine from a text file containing a learning corpus. The learning corpus includes a set of phrases expressed in a corresponding manner in at least two languages. Each word of each of the two languages being associated with a target vector. The target vectors of the words of the learning corpus in at least two languages aligned. N words in each of the at least two languages having the closest target vectors with respect to a target vector associated with a query word are retrieved. The queries to be performed by the search engine from the N preceding words recovered in the at least two languages are established.
    Type: Grant
    Filed: September 6, 2016
    Date of Patent: July 6, 2021
    Assignee: PROXEM
    Inventors: Guillaume Wenzek, Jocelyn Coulmance, Jean-Marc Marty
  • Publication number: 20190026371
    Abstract: A method for automatically constructing inter-language queries performed by a search engine from a text file containing a learning corpus. The learning corpus includes a set of phrases expressed in a corresponding manner in at least two languages. Each word of each of the two languages being associated with a target vector. The target vectors of the words of the learning corpus in at least two languages aligned. N words in each of the at least two languages having the closest target vectors with respect to a target vector associated with a query word are retrieved. The queries to be performed by the search engine from the N preceding words recovered in the at least two languages are established.
    Type: Application
    Filed: September 6, 2016
    Publication date: January 24, 2019
    Applicant: PROXEM
    Inventors: GUILLAUME WENZEK, JOCELYN COULMANCE, JEAN-MARC MARTY