Most current machine transliteration systems employ a corpus of known sourcetarget word pairs to train their system, and typically evaluate their systems on a similar corpus. In t...
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
Pervasive computing allows the coupling of the physical world to the information world, and provides a wealth of ubiquitous services and applications that allow users, machines, d...
Anand Ranganathan, Jalal Al-Muhtadi, Jacob T. Bieh...
For the CLEF 2004 ImageCLEF St Andrew’s Collection task the Dublin City University group carried out three sets of experiments. We carried out standard cross-language informatio...
Gareth J. F. Jones, Declan Groves, Anna Khasin, Ad...
We assess the generative power of the mPoTmodel of [10] with tiled-convolutional weight sharing as a model for visual textures by specifically training on this task, evaluating m...