To ensure the re-use of domain ontologies the usual approach relies on a pivot language, e.g., Kif, intoandfromwhich the domainontologyis translated. This requires several distinc...
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...
Abstract. Recently, many researchers are working on semantics preserving model transformation. In the field of graph transformation one can think of translating graph grammars writ...