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...
Performance evaluation tools enable analysts to shed light on how applications behave both from a general point of view and at concrete execution points, but cannot provide detaile...
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has preven...
The vulnerability of computer nodes due to component failures is a critical issue for cluster-based file systems. This paper studies the development and deployment of mirroring in...
Growth and usage trends for large decision support databases indicate that there is a need for architectures that scale the processing power as the dataset grows. To meet this nee...