Statistical machine translation (SMT) requires a large parallel corpus, which is available only for restricted language pairs and domains. To expand the language pairs and domains...
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Currently there is a diversity of tools for agent-based simulation, which can be applied to the understanding of social phenomena. Describing this kind of phenomena with a visual l...
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)...
In this paper we present a reference generation model based on Reference Domain Theory which gives a dynamic account of reference. This reference model assumes that each referring...