Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
We analyse the computational complexity of phonological models as they have developed over the past twenty years. The major results ate that generation and recognition are undecid...
We present a comparative error analysis of the two dominant approaches in datadriven dependency parsing: global, exhaustive, graph-based models, and local, greedy, transition-base...
In this paper, we present an approach for modeling an existing web application using communicating finite automata model based on the userdefined properties to be validated. We ela...
May Haydar, Alexandre Petrenko, Houari A. Sahraoui