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. 07, 2021

Filed:

Sep. 25, 2017
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Mohammad Norouzi, Sunnyvale, CA (US);

Zhifeng Chen, Sunnyvale, CA (US);

Yonghui Wu, Fremont, CA (US);

Michael Schuster, Saratoga, CA (US);

Quoc V. Le, Sunnyvale, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/44 (2020.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06F 40/58 (2020.01); G06F 40/44 (2020.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural machine translation. One of the systems includes an encoder neural network comprising: an input forward long short-term memory (LSTM) layer configured to process each input token in the input sequence in a forward order to generate a respective forward representation of each input token, an input backward LSTM layer configured to process each input token in a backward order to generate a respective backward representation of each input token and a plurality of hidden LSTM layers configured to process a respective combined representation of each of the input tokens in the forward order to generate a respective encoded representation of each of the input tokens; and a decoder subsystem configured to receive the respective encoded representations and to process the encoded representations to generate an output sequence.


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