Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is “known” by its association with several sample stories that discuss it. In this paper, we propose a new method to build the keywords dependency profile (KDP) of each story and track topic basing on similarity between the profi...

Cultural encounters often result in the borrowing of words between communities involved. This words, turn, preserve precious clues about nature and characteristics interactions underlying their transfer, can thus be a (but overlooked) source socio-historical information. The present paper aims at showing how Egyptian borrowings Levantine languages used as an additional evidence to explore socio...

The Analogue-to-Digital Converter (ADC) is one of the most typical and widely used mixed-signal circuits. They are applied in video, audio, high-speed communications systems and so on. Many ADCs are integrated into platform-based designs, the architecture which normally contains of standard blocks such as memories, digital processors, RF and analogue front-ends. As testing such a system is a co...

Previous work in AI story understanding has largely been used to build tools which can summarize stories and categorize them according to the events they describe (e.g., the technologies developed for the Message Understanding Conferences). These sorts of technologies are built around the assumptions that (1) events reported as facts in news stories should be “understood” as facts; (2) the styl...