Publication
DFKI's system for WMT16 IT-domain task, including analysis of systematic errors
Eleftherios Avramidis; Aljoscha Burchardt; Vivien Macketanz; Ankit Srivastava
In: Proceedings of the First Conference on Machine Translation. Workshop on Statistical Machine Translation (WMT-16), located at The 54th Annual Meeting of the Association for Computational Linguistics, August 11-12, Berlin, Germany, Pages 415-422, Association for Computational Linguistics, 8/2016.
Abstract
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.
Projects
- QT21 - QT21: Quality Translation 21
- QTLeap - Quality Translation by Deep Language Engineering Approaches