The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016
By Matthias Huck, Alexander M. Fraser, Barry Haddow. 2016
7 citations recorded by the source corpus.
This paper describes the hierarchical phrase-based machine translation system built jointly by the University of Edinburgh and the University of Munich (LMU) for the shared translation task at the ACL 2016 First Conference on Machine Translation (WMT16). The WMT16 Edinburgh/LMU system was trained for translation of news domain texts from English into Romanian. We participated in the shared task for machine translation of news under “constrained” conditions, i.e. using the provided training data only.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Graham Neubig
- Philipp Koehn
- Ondrej Bojar
- Rico Sennrich
- Lucia Specia
- Felix Stahlberg
- Alexander M. Fraser
- Barry Haddow
Citations in the corpus
- The QT21/HimL Combined Machine Translation System (2016, background): “Huck et al. (2016) give a more in-depth description of the Edinburgh/LMU hierarchical machine translation system, along with detailed experimental results.”