We present a process-algebraic language for Probabilistic I/O Automata (PIOA). To ensure that PIOA specifications given in our language satisfy the “input-enabled” property, w...
Eugene W. Stark, Rance Cleaveland, Scott A. Smolka
The Semantic Web and its technologies become increasingly important. As more and more Semantic Web applications are being used, developing more stable Semantic Web applications be...
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
There is a need to develop a suitable computational grammar formalism for free word order languages for two reasons: First, a suitably designed formalism is likely to be more effi...