Ontologies and datasets for the Semantic Web are encoded in OWL formalisms that are not easily comprehended by people. To make ontologies accessible to human domain experts, sever...
In this paper, we address the problem of mining transliterations of Named Entities (NEs) from large comparable corpora. We leverage the empirical fact that multilingual news artic...
Raghavendra Udupa, K. Saravanan, A. Kumaran, Jagad...
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Domain-specific modeling is a powerful technique to describe complex systems in a precise but still understandable way. Rapid creation of graphical Domain-Specific Languages (DSLs)...