We present two experiments with Basque to verify the improvement obtained for other languages by using statistical post editing. The small size of available corpora and the use a morphological component in both RBMT and SMT translations make different our experiments from hose presented for similar works. Our results confirm the improvements when using a restricted domain, but they are doubtful for more general domains. 1

Many techniques have been developed over the years to automatically find bugs in software. Often, these techniques rely on formal methods and sophisticated program analysis. While these techniques are valuable, they can be difficult to apply, and they aren’t always effective in finding real bugs

about a subset of the proteins, computational structure prediction methods will provide valuable information for the large fraction of sequences whose structures will not be determined experimentally. The first class of protein structure prediction methods, including threading and comparative modeling

2. Information on Subscriptions

Qualitative case study methodology provides tools for researchers to study complex phenomena within their contexts. When the approach is applied correctly, it becomes a valuable method for health science research to develop theory, evaluate programs, and develop interventions. The purpose

Objective: Benchmarking and early detection of unfavourable trends. Methods: We implemented a dedicated project-orientated data warehouse, which continuously supplies data for on-line computing of the variable live-adjusted displays (VLADs). To calculate the expected cumulative mortality, we used

segments as well as a valuable resource for the scientific community. All DBNs are implemented using the Graphical Models Toolkit. Source code for the models described here is available at

Machine learning approaches offer the potential to systematically identify transcriptional regulatory interactions from a compendium of microarray expression profiles. However, experimental validation of the performance of these methods at the genome scale has remained elusive. Here we assess

inequality is due to within-group or between-group inequality. Second, the male-female earnings differentials in the labour market using a recently developed method to decompose the male-female wage gap into components referring to productivity differentials and various aspects of discrimination.

on the average, while the static link channel assignment algorithm also performs very well. The methods proposed in this paper can be a valuable tool for network designers in planning network deployment and for optimizing different performance objectives.