The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 22, 2023

Filed:

Nov. 16, 2020
Applicant:

Iqvia Inc., Danbury, CT (US);

Inventors:

Gary Shorter, Danbury, CT (US);

Naouel Baili Ben Abdallah, Danbury, CT (US);

Barry Ahrens, Danbury, CT (US);

Assignee:

IQVIA INC., Durham, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/00 (2020.01); G06F 40/30 (2020.01); G16H 10/20 (2018.01); G06N 3/04 (2023.01); G06F 40/295 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01); G06F 40/295 (2020.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G16H 10/20 (2018.01);
Abstract

Documents in source natural languages are translated into target natural languages using a computer-implemented translation that is configured to operate within the domain of the subject matter of the documents that imposes specialized requirements for translation and readability. Subject matter specific documents typically include domain-specific terminology, are subject to various regulatory guidelines, and have different readability requirements depending on the intended reader. The computer-implemented translation applies machine-learning techniques that deconstruct elements of the subject matter specific document into a standard data structure and perform pre-processing steps to tokenize digitized document text to identify the correct sentence structure and syntax for the target natural language to optimize translation by, e.g., a neural machine translation engine. The text segments that are input into the neural machine translation engine are generated to be semantically meaningful in the target natural language to thereby enhance the understanding of the neural machine translation engine.


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