This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
We propose a formal framework for extending a class-based language, equipped with a given class composition mechanism, to allow programmers to define their own derived composition...
Data compression algorithms change frequently, and obsolete decoders do not always run on new hardware and operating systems, threatening the long-term usability of content archiv...
One of the key functions to popularize 3D content services on virtual environments is on the extensibility of the underlying system. In our previous work, we had implemented an ext...