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US Patent 11138392 Machine translation using neural network models

Patent 11138392 was granted and assigned to Google on October, 2021 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Google
Google
Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11138392
Date of Patent
October 5, 2021
Patent Application Number
20190725
Date Filed
July 25, 2019
Patent Citations Received
‌
US Patent 12014160 Translating between programming languages independently of sequence-to-sequence decoders
0
Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for machine translation using neural networks. In some implementations, a text in one language is translated into a second language using a neural network model. The model can include an encoder neural network comprising a plurality of bidirectional recurrent neural network layers. The encoding vectors are processed using a multi-headed attention module configured to generate multiple attention context vectors for each encoding vector. A decoder neural network generates a sequence of decoder output vectors using the attention context vectors. The decoder output vectors can represent distributions over various language elements of the second language, allowing a translation of the text into the second language to be determined based on the sequence of decoder output vectors.

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