Generating representations of input sequences using neural networks
US10181098B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2015 |
| Grant date | Jan 15, 2019 |
| Priority date | — |
| Expiry date | Mar 8, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/187
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating representations of input sequences. One of the methods includes obtaining an input sequence, the input sequence comprising a plurality of inputs arranged according to an input order; processing the input sequence using a first long short term memory (LSTM) neural network to convert the input sequence into an alternative representation for the input sequence; and processing the alternative representation for the input sequence using a second LSTM neural network to generate a target sequence for the input sequence, the target sequence comprising a plurality of outputs arranged according to an output order.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.