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:
Sep. 19, 2023

Filed:

Jul. 27, 2020
Applicant:

7299362 Canada Inc. (O/a Alexa Translations), North York, CA;

Inventors:

Renxian Zhang, Markham, CA;

Jinnan Lu, Markham, CA;

Zhanxuan Ding, Toronto, CA;

Jie Ma, North York, CA;

Syed Salman Ali, Scarborough, CA;

Jason Cox, Pueblo, CO (US);

Xun Li, Shanghai, CN;

Assignee:

7299362 Canada Inc., Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/47 (2020.01); G06F 40/211 (2020.01); G06F 40/42 (2020.01); G06F 40/44 (2020.01); G06F 40/51 (2020.01); G06F 40/55 (2020.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 5/02 (2023.01); G06N 7/00 (2023.01); G06N 20/00 (2019.01); G06N 3/082 (2023.01); G06N 3/086 (2023.01); G06N 5/025 (2023.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01); G06F 40/20 (2020.01);
U.S. Cl.
CPC ...
G06F 40/47 (2020.01); G06F 40/211 (2020.01); G06F 40/42 (2020.01); G06F 40/44 (2020.01); G06F 40/51 (2020.01); G06F 40/55 (2020.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/082 (2013.01); G06N 3/086 (2013.01); G06N 5/025 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06F 40/20 (2020.01);
Abstract

Provided are computer implemented systems and methods for providing improved language translation, including translation of input text to an output translated text element. This may include providing for rule-based language translation. This may further include a plurality of machine translation models adapted to different translation domains. A machine translation selector is described that selects an in-domain machine translator from the plurality of machine translation models based on an input text element. The selected in-domain machine translator may generate a first translated text element from the input text element. A post-editor module may generate a second translated text element by predicting a post-edit to the first translated text element. The first translated text element and the second translated text element are evaluated by a quality evaluation model that determines a first metric associated with the first translated text element and a second metric associated with the second text element.


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Zhang, Renxian. (2023). System and method for language translation (U.S. Patent No. 11763098). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11763098

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