We describe an open-source toolkit for statistical machine translation whose novel contributions are (a) support for linguistically motivated factors, (b) confusion network decodi...
Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris ...
We reuse here the framework, the setting, and the semantic modelling for the automated synthesis of the SWS Challenge Mediator presented in the companion paper [5], and show how to...
Christian Kubczak, Tiziana Margaria, Matthias Kais...
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...
Agent-based programming comes us as a next generation programming paradigm. However, we have not been ready yet to fully use it without having sound and concrete software engineer...
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...