The QT21/HimL Combined Machine Translation System
By Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander M. Fraser, Ales Tamchyna, Ondrej Bojar, Barry Haddow, Rico Sennrich and 12 more. 2016
17 citations recorded by the source corpus.
This paper describes the joint submission of the QT21 and HimL projects for the English→Romanian translation task of the ACL 2016 First Conference on Machine Translation (WMT 2016). The submission is a system combination which combines twelve different statistical machine translation systems provided by the different groups (RWTH Aachen University, LMU Munich, Charles University in Prague, University of Edinburgh, University of Sheffield, Karlsruhe Institute of Technology, LIMSI, University of Amsterdam, Tilde). The systems are combined using RWTH’s system combination approach. The final submission shows an improvement of 1.0 BLEU compared to the best single system on newstest2016.
Subfields: Artificial Intelligence, Molecular Biology
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In Artificial Intelligence
- Markus Freitag
- Isaac Caswell
- François Yvon
- Franck Burlot
- Scott Roy
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In Molecular Biology
Citations in the corpus
- Evaluating the morphological competence of Machine Translation Systems (2017, methodology): “The new state of the art is an NMT setup with an open vocabulary provided by byte pair encoding (BPE) segmentation (Sennrich et al., 2016b).”
- The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016 (2016, unknown): “A description of the QT21/HimL combined submission is given by Peter et al. (2016).”
- APE at Scale and Its Implications on MT Evaluation Biases (2019, background): “Both the QT21 submission (Peter et al., 2016), which is a system combination of several NMT systems,”