We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
This paper proposes a two-phase example-based machine translation methodology which develops translation templates from examples and then translates using template matching. This ...
System-level virtualization is today enjoying a rebirth, after first gaining popularity in the 1970s as a technique to effectively share what were then considered large computin...
This paper attempts to address the issue of hardening the internal security of an organisation's network by easing its patch management. Traditionally security has been model...
The AutoSchedTM finite capacity planning and scheduling tool helps you increase throughput, reduce in-process inventory, and increase equipment and personnel utilization. AutoSche...