Invention Grant
- Patent Title: Depthwise separable convolutions for neural machine translation
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Application No.: US16688958Application Date: 2019-11-19
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Publication No.: US10853590B2Publication Date: 2020-12-01
- Inventor: Aidan Nicholas Gomez , Lukasz Mieczyslaw Kaiser , Francois Chollet
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L25/30
- IPC: G10L25/30 ; G06F40/58 ; G06F40/263 ; G06N3/04 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing machine translation tasks. One method includes receiving an input text segment in an input language; processing the input text segment using an encoder neural network to generate an encoder neural network output, the encoder neural network comprising multiple depth wise separable convolutional neural network layers; processing the encoder neural network output using an autoregressive decoder neural network to generate a decoder neural network output; and processing the decoder neural network output to generate a predicted output text segment in a target natural language.
Public/Granted literature
- US20200089772A1 DEPTHWISE SEPARABLE CONVOLUTIONS FOR NEURAL MACHINE TRANSLATION Public/Granted day:2020-03-19
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