This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...
In this study, we introduce a model transformation tool for a time-triggered language: Giotto. The tool uses graphs to represent the source code (Giotto) and the target (the sched...
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Many developers who could benefit from building and analysing formal models of their systems are deterred from doing so by the process algebra style input languages of formal mode...
Peter Henderson, Robert John Walters, Stephen Crou...