A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...
In this paper we present a framework for the evaluation and (re)design of modeling languages. We focus here on the evaluation of the suitability of a language to model a set or rea...
This paper presents a workflow specification language developed in the WIDE project. The language provides a rich organisation model, an information model including presentation d...
Daniel K. C. Chan, Jochem Vonk, Gabriel Sanchez, P...