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:
Nov. 14, 2023

Filed:

Feb. 12, 2019
Applicant:

National Institute of Information and Communications Technology, Koganei, JP;

Inventors:

Kenji Imamura, Koganei, JP;

Atsushi Fujita, Koganei, JP;

Eiichiro Sumita, Koganei, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06F 18/211 (2023.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 18/211 (2023.01); G06N 3/084 (2013.01);
Abstract

Provided are a model training method for neural machine translation that enhances an encoder using a monolingual corpus of a target language and improves the accuracy of the entire translator, and a machine translation system for performing the model training method. The machine translation systemuses a monolingual corpus of the target language to obtain multiple pieces of pseudo source language data, thus allowing for obtaining a large amount of pseudo parallel corpus data having diversity. Further, the machine translation systemuses both the pseudo parallel corpus data having diversity, which has been obtained in large quantities, and the base parallel corpus data in a small quantity but with high accuracy, with the applied learning rates changed accordingly, to perform the learning process (training process) for the machine translation model. This allows the machine translation systemto obtain a learned model (machine translation model) with very high accuracy.


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