We employ statistical methods to analyze, generate, and translate rhythmic poetry. We first apply unsupervised learning to reveal word-stress patterns in a corpus of raw poetry. W...
Traditional design and implementation of large atmospheric models is a difficult, tedious and error prone task. With the CTADEL project we investigate a new method of code genera...
Modern GPUs offer much computing power at a very modest cost. Even though CUDA and other related recent developments are accelerating the use of GPUs for general purpose applicati...
—We consider representing a short temporal fragment of musical audio as a dynamic texture, a model of both the timbral and rhythmical qualities of sound, two of the important asp...
Luke Barrington, Antoni B. Chan, Gert R. G. Lanckr...
In this paper we want to point out some issues arising when a natural language processing task involves several languages (like multilingual, multidocument summarization and the m...