Using MT-ComparEval
By Roman Sudarikov, Martin Popel, Ondrej Bojar, Aljoscha Burchardt, Ondrej Klejch. 2016
Subfields: Natural Language Processing, Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Philipp Koehn
- Ondrej Bojar
- Graham Neubig
- Lucia Specia
- Barry Haddow
- Luke S. Zettlemoyer
- Markus Freitag
- Rico Sennrich
In Evaluation & Benchmarks
- Ondrej Bojar
- Lucia Specia
- Philipp Koehn
- Markus Freitag
- Yvette Graham
- Matt Post
- Barry Haddow
- Christian Federmann
Citations in the corpus
- Findings of the 2016 Conference on Machine Translation (2016, methodology): “The automatic post-editing task had a total of 6 teams, submitting 11 entries.”
- Findings of the 2018 Conference on Machine Translation (WMT18) (2018, methodology): “News transla- 2http://statmt.org/wmt18/results.html 272 tions are also available for interactive visualization and comparison of differences between systems at http://wmt.ufal.cz/ using MT-ComparEval (Sudarikov et al., 2016).”
- Findings of the 2017 Conference on Machine Translation (WMT17) (2017, methodology): “News translations are also available for interactive visualization and comparison of differences between systems at http://wmt.ufal.cz/ using MT-ComparEval (Sudarikov et al., 2016).”
- Findings of the 2019 Conference on Machine Translation (WMT19) (2019, methodology): “News translations are also available for interactive visualization and comparison of differences between systems at http://wmt.ufal.cz/ using MT-ComparEval (Sudarikov et al., 2016).”
- Findings of the 2021 Conference on Machine Translation (WMT21) (2021, methodology): “News translations are also available for interactive visualization and comparison of differences between systems at http://wmt.ufal.cz/ using MT-ComparEval (Sudarikov et al., 2016), and also on ExplainaBoard3 (Liu et al., 2021b).”
- Findings of the 2020 Conference on Machine Translation (WMT20) (2020, methodology): “News translations are also available for interactive visualization and comparison of differences between systems at http://wmt.ufal.cz/ using MT-ComparEval (Sudarikov et al., 2016).”