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:
Jan. 28, 2025

Filed:

Feb. 28, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Xavier Eduardo Garcia, New York, NY (US);

Orhan Firat, New York, NY (US);

Noah Constant, Cupertino, CA (US);

Xiaoyue Guo, San Francisco, CA (US);

Parker Riley, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/166 (2020.01); G06F 40/197 (2020.01); G06F 40/253 (2020.01); G06F 40/56 (2020.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/166 (2020.01); G06F 40/197 (2020.01); G06F 40/253 (2020.01); G06F 40/56 (2020.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01);
Abstract

The technology provides a model-based approach for multilingual text rewriting that is applicable across many languages and across different styles including formality levels or other textual attributes. The model is configured to manipulate both language and textual attributes jointly. This approach supports zero-shot formality-sensitive translation, with no labeled data in the target language. An encoder-decoder architectural approach with attribute extraction is used to train rewriter models that can thus be used in 'universal' textual rewriting across many different languages. A cross-lingual learning signal can be incorporated into the training approach. Certain training processes do not employ any exemplars. This approach enables not just straight translation, but also the ability to create new sentences with different attributes.


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