Processing text sequences using neural networks
US10354015B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 2018 |
| Grant date | Jul 16, 2019 |
| Priority date | — |
| Expiry date | Jul 11, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/197
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.