Discriminative feature-rich models for syntax-based machine translation.

Technical Report · Sat Dec 01 04:00:00 EST 2012

DOI:https://doi.org/10.2172/1096485· OSTI ID:1096485

Dixon, Kevin R.

This report describes the campus executive LDRD %E2%80%9CDiscriminative Feature-Rich Models for Syntax-Based Machine Translation,%E2%80%9D which was an effort to foster a better relationship between Sandia and Carnegie Mellon University (CMU). The primary purpose of the LDRD was to fund the research of a promising graduate student at CMU; in this case, Kevin Gimpel was selected from the pool of candidates. This report gives a brief overview of Kevin Gimpel's research.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1096485
• Report Number(s): SAND2012-10727; 463681
• Country of Publication: United States
• Language: English