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:
Dec. 27, 2022

Filed:

Mar. 26, 2021
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Kazuma Hashimoto, Menlo Park, CA (US);

Raffaella Buschiazzo, San Francisco, CA (US);

James Bradbury, Mountain View, CA (US);

Teresa Marshall, San Francisco, CA (US);

Caiming Xiong, Menlo Park, CA (US);

Richard Socher, Menlo Park, CA (US);

Assignee:

Salesforce.com, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06N 3/08 (2013.01);
Abstract

Approaches for the translation of structured text include an embedding module for encoding and embedding source text in a first language, an encoder for encoding output of the embedding module, a decoder for iteratively decoding output of the encoder based on generated tokens in translated text from previous iterations, a beam module for constraining output of the decoder with respect to possible embedded tags to include in the translated text for a current iteration using a beam search, and a layer for selecting a token to be included in the translated text for the current iteration. The translated text is in a second language different from the first language. In some embodiments, the approach further includes scoring and pointer modules for selecting the token based on the output of the beam module or copied from the source text or reference text from a training pair best matching the source text.


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