Using Sequence-to-Sequence Models to Build Source-to-English Translations.
Conference
·
OSTI ID:1645712
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- Department of Homeland Security
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1645712
- Report Number(s):
- SAND2019-9163PE; 678215
- Resource Relation:
- Conference: Proposed for presentation at the Machine Learning & Deep Learning Workshop held August 6-7, 2019 in Albuquerque, NM.
- Country of Publication:
- United States
- Language:
- English
Similar Records
Application of Neural Translation: Source Code to English.
Continuum Simulation of Hypersonic Flows with Translation-Rotational Non-Equilibrium using the Quantum-Kinetic Chemical Reaction Model.
Continuum Simulation of Hypersonic Flows with Translational-Rotational Non-Equilibrium using the Quantum-Kinetic Chemical Reaction Model.
Conference
·
Wed Jul 01 00:00:00 EDT 2020
·
OSTI ID:1645712
+4 more
Continuum Simulation of Hypersonic Flows with Translation-Rotational Non-Equilibrium using the Quantum-Kinetic Chemical Reaction Model.
Conference
·
Tue Oct 01 00:00:00 EDT 2013
·
OSTI ID:1645712
Continuum Simulation of Hypersonic Flows with Translational-Rotational Non-Equilibrium using the Quantum-Kinetic Chemical Reaction Model.
Conference
·
Sat Jun 01 00:00:00 EDT 2013
·
OSTI ID:1645712