This work proposes to integrate into a popular integrated development environment (Eclipse) the authors' new visualization tool (VERSO), which computes, organizes, displays and allows navigation through information in a coherent, effective, and intuitive way in order to benefit from the human visual system when exploring complex data.
It is claimed that hybrid techniques that combine automatic analysis with human expertise through visualization are excellent alternatives to them and a visualization framework that supports quality analysis of large-scale software systems is proposed.
The NICT/ATR statistical machine translation (SMT) system used for the IWSLT 2008 evaluation campaign is described and a novel clustering method is employed, where training sentences similar to the development data in terms of the word error rate formed a cluster.
Computer Science 10th International Conference on Document…
A system to process multispectral scans of double-sided documents that can co-register any number of recto and verso channel maps, and reduce the bleed-through/show-through distortions by exploiting blind source separation, and is able to recover the original colors, thus improving the readability of a document while maintaining its original appearance.