Experiments with term translation

In this article we investigate the translation of financial terms from English into German in the isolation of an ontology vocabulary. For this study we automatically built new domain-specific resources from the translation search engine Linguee and from the online encyclopaedia Wikipedia. Due to the fact that we performed the translation approach on a monolingual ontology, we ran several sub-experiments to find the most appropriate model to translate the financial vocabulary. The findings from these experiments lead to the conclusion that a hybrid translation system, a combination of bilingual terminological resources and statistical machine translation, can help to improve translation of domain-specific terms. Finally we undertook a manual cross-lingual evaluation on the monolingual ontology to get a better understanding on this specific short text translation task.This work has been funded under the Seventh Framework Programme for Research and Technological Development of the European Commission through the T4ME contract (grant agreement no.: 249119) and in part by the European Union under Grant No. 248458 for the Monnet project as well as by the Science Foundation Ireland under Grant No. SFI/08/CE/I1380 (Lion-2). The authors would like to thank Noëmi Aepli, Tobias Wunner and Thierry Declerck for their help with the manual evaluation. We are grateful to the anonymous reviewers for their valuable feedback.non-peer-reviewe