DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors
By Eleftherios Avramidis. 2016
10 citations recorded by the source corpus.
We are presenting a hybrid MT approach in the WMT2016 Shared Translation Task for the IT-Domain. Our work consists of several translation components based on rule-based and statistical approaches that feed into an informed selection mechanism. Additions to last year’s submission include a WSD component, a syntactically-enhanced component and several improvements to the rule-based component, relevant to the particular domain. We also present detailed human evaluation on the output of all translation components, focusing on particular systematic errors.
Subfields: Artificial Intelligence, Natural Language Processing
How researchers see this paper
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In Artificial Intelligence
- Ondrej Bojar
- Philipp Koehn
- Lucia Specia
- Graham Neubig
- Barry Haddow
- Matt Post
- Rico Sennrich
- Felix Stahlberg
In Natural Language Processing
- Ondrej Bojar
- Philipp Koehn
- Lucia Specia
- Barry Haddow
- Christof Monz
- Yvette Graham
- Matt Post
- Graham Neubig
Citations in the corpus
- Findings of the 2016 Conference on Machine Translation (2016, background): “Avramidis (2016) describes all English→German QTL-* systems (DFKI).”