Invention Grant
- Patent Title: Processing text sequences using neural networks
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Application No.: US16032971Application Date: 2018-07-11
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Publication No.: US10354015B2Publication Date: 2019-07-16
- Inventor: Nal Emmerich Kalchbrenner , Karen Simonyan , Lasse Espeholt
- Applicant: DeepMind Technologies Limited
- Applicant Address: US CA Mountain View
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/28
- IPC: G06F17/28 ; G06N3/04 ; G06N3/08 ; G10L15/197

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural machine translation. In one aspect, a system is configured to receive an input sequence of source embeddings representing a source sequence of words in a source natural language and to generate an output sequence of target embeddings representing a target sequence of words that is a translation of the source sequence into a target natural language, the system comprising: a dilated convolutional neural network configured to process the input sequence of source embeddings to generate an encoded representation of the source sequence, and a masked dilated convolutional neural network configured to process the encoded representation of the source sequence to generate the output sequence of target embeddings.
Public/Granted literature
- US20180329897A1 PROCESSING TEXT SEQUENCES USING NEURAL NETWORKS Public/Granted day:2018-11-15
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