Patents by Inventor Santiago Pont Nesta

Santiago Pont Nesta 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 synthesizer for analysis, amplification and remediation of linguistic data across a translation supply chain
    Patent number: 11256879
    Abstract: Systems and methods for translating a source segment are disclosed. In embodiments, a computer-implemented method for translating a source segment comprises receiving, by a computing device, the source segment in a first language to be translated into a second language; identifying, by the computing device, linguistic markers within the source segment and associated noise values to produce a tagged source segment, wherein the linguistic markers are associated with one or more linguistic patterns likely to introduce noise into a translation channel; transforming, by the computing device, the tagged source segment into an amplified source segment; and sending, by the computing device, the amplified source segment to a machine translation module, wherein the machine translation module is configured to process the amplified source segment to produce a return amplified match in the second language.
    Type: Grant
    Filed: July 2, 2019
    Date of Patent: February 22, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Alejandro Martinez Corria, Santiago Pont Nesta, Consuelo Rodríguez Magro, Francis X. Rojas, Linda F. Traudt, Saroj K. Vohra
  • TRANSLATION SYNTHESIZER FOR ANALYSIS, AMPLIFICATION AND REMEDIATION OF LINGUISTIC DATA ACROSS A TRANSLATION SUPPLY CHAIN
    Publication number: 20190325030
    Abstract: Systems and methods for translating a source segment are disclosed. In embodiments, a computer-implemented method for translating a source segment comprises receiving, by a computing device, the source segment in a first language to be translated into a second language; identifying, by the computing device, linguistic markers within the source segment and associated noise values to produce a tagged source segment, wherein the linguistic markers are associated with one or more linguistic patterns likely to introduce noise into a translation channel; transforming, by the computing device, the tagged source segment into an amplified source segment; and sending, by the computing device, the amplified source segment to a machine translation module, wherein the machine translation module is configured to process the amplified source segment to produce a return amplified match in the second language.
    Type: Application
    Filed: July 2, 2019
    Publication date: October 24, 2019
    Inventors: Alejandro Martinez Corria, Santiago Pont Nesta, Consuelo Rodríguez Magro, Francis X. Rojas, Linda F. Traudt, Saroj K. Vohra
  • Translation synthesizer for analysis, amplification and remediation of linguistic data across a translation supply chain
    Patent number: 10380263
    Abstract: Systems and methods for translating a source segment are disclosed. In embodiments, a computer-implemented method for translating a source segment comprises receiving, by a computing device, the source segment in a first language to be translated into a second language; identifying, by the computing device, linguistic markers within the source segment and associated noise values to produce a tagged source segment, wherein the linguistic markers are associated with one or more linguistic patterns likely to introduce noise into a translation channel; transforming, by the computing device, the tagged source segment into an amplified source segment; and sending, by the computing device, the amplified source segment to a machine translation module, wherein the machine translation module is configured to process the amplified source segment to produce a return amplified match in the second language.
    Type: Grant
    Filed: January 25, 2017
    Date of Patent: August 13, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Alejandro Martinez Corria, Santiago Pont Nesta, Consuelo Rodríguez Magro, Francis X. Rojas, Linda F. Traudt, Saroj K. Vohra
  • TRANSLATION SYNTHESIZER FOR ANALYSIS, AMPLIFICATION AND REMEDIATION OF LINGUISTIC DATA ACROSS A TRANSLATION SUPPLY CHAIN
    Publication number: 20190095434
    Abstract: Systems and methods for translating a source segment are disclosed. In embodiments, a computer-implemented method for translating a source segment comprises receiving, by a computing device, the source segment in a first language to be translated into a second language; identifying, by the computing device, linguistic markers within the source segment and associated noise values to produce a tagged source segment, wherein the linguistic markers are associated with one or more linguistic patterns likely to introduce noise into a translation channel; transforming, by the computing device, the tagged source segment into an amplified source segment; and sending, by the computing device, the amplified source segment to a machine translation module, wherein the machine translation module is configured to process the amplified source segment to produce a return amplified match in the second language.
    Type: Application
    Filed: January 25, 2017
    Publication date: March 28, 2019
    Inventors: Alejandro Martinez Corria, Santiago Pont Nesta, Consuelo Rodriguez Magro, Francis X. Rojas, Linda F. Traudt, Saroj K. Vohra
  • TRANSLATION SYNTHESIZER FOR ANALYSIS, AMPLIFICATION AND REMEDIATION OF LINGUISTIC DATA ACROSS A TRANSLATION SUPPLY CHAIN
    Publication number: 20180137108
    Abstract: Systems and methods for translating a source segment are disclosed. In embodiments, a computer-implemented method for translating a source segment comprises receiving, by a computing device, the source segment in a first language to be translated into a second language; identifying, by the computing device, linguistic markers within the source segment and associated noise values to produce a tagged source segment, wherein the linguistic markers are associated with one or more linguistic patterns likely to introduce noise into a translation channel; transforming, by the computing device, the tagged source segment into an amplified source segment; and sending, by the computing device, the amplified source segment to a machine translation module, wherein the machine translation module is configured to process the amplified source segment to produce a return amplified match in the second language.
    Type: Application
    Filed: January 25, 2017
    Publication date: May 17, 2018
    Inventors: Alejandro Martinez Corria, Santiago Pont Nesta, Consuelo Rodríguez Magro, Francis X. Rojas, Linda F. Traudt, Saroj K. Vohra