Typical statistical machine translation systems are trained with static parallel corpora. Here we account for scenarios with a continuous incoming stream of parallel training data...
Abby Levenberg, Chris Callison-Burch, Miles Osborn...
Planning is an artificial intelligence problem with a wide range of real-world applications. Genetic algorithms, neural networks, and simulated annealing are heuristic search met...
Han Yu, Dan C. Marinescu, Annie S. Wu, Howard Jay ...
Crowdsourcing is a new kind of organizational structure, one that is conducive to large amounts of short parallel work: thousands of individuals may work for several minutes on tas...
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
As the scale of high performance computing (HPC) continues to grow, application fault resilience becomes crucial. To address this problem, we are working on the design of an adapt...