@article {13812,
	title = {Leveraging recurrent phrase structure in large-scale ontology translation},
	journal = {Proceedings of the 11th Annual Conference of the European Association for Machine Translation},
	year = {2006},
	month = {2006///},
	abstract = {This paper presents a process for leveraging structural relationships and reusablephrases when translating large-scale ontologies. Digital libraries are becoming more and
more prevalent. An important step in providing universal access to such material is to pro-
vide multi-lingual access to the underlying principles of organization via ontologies,
thesauri, and controlled vocabularies. Machine translation of these resources requires high
accuracy and a deep vocabulary. Human input is often required, but full manual translation
can be slow and expensive. We report on a cost-effective approach to ontology translation.
We describe our technique of prioritization, our process of collecting aligned translations
and generating a new lexicon, and the resulting improvement to translation system output.
Our preliminary evaluation indicates that this technique provides significant cost savings
for human-assisted translation. The process we developed can be applied to ontologies in
other domains and is easily incorporated into other translation systems.
},
	author = {Murray,G. C and Dorr, Bonnie J and Jimmy Lin and Haji{\v c},J. and Pecina,P.}
}
