In adding syntax to statistical MT, there is a tradeoff between taking advantage of linguistic analysis, versus allowing the model to exploit linguistically unmotivated mappings l...
Many people do not read easily for all sorts of reasons: social and cultural, because of impairments, or because of their context. Even in the area of impairments, design for peop...
Caroline Jarrett, Katie Grant, B. L. William Wong,...
We explore a new Bayesian model for probabilistic grammars, a family of distributions over discrete structures that includes hidden Markov models and probabilistic context-free gr...
Software architecting is a highly knowledge-intensive process demanding and producing a large and rich amount of information. To remain competitive, companies and organizations wo...
Patricia Lago, Paris Avgeriou, Rafael Capilla, Phi...
Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...