This paper presents a web application and a web service for the diagnostic evaluation of Machine Translation (MT). These web-based tools are built on top of DELiC4MT, an opensource software package that assesses the performance of MT systems over user-defined linguistic phenomena (lexical, morphological, syntactic and semantic). The advantage of the web-based scenario is clear; compared to the standalone tool, the user does not need to carry out any installation, configuration or maintenance of the tool.

Assume that each object in a database has m grades, or scores, one for each of m attributes. For example, an object can have a color grade, that tells how red it is, and a shape grade, that tells how round it is. For each attribute, there is a sorted list, which lists each object and its grade

of these structures provide a particularly challenging set of decoys for evaluating scoring functions. We investigate the effects of multiple sequence information and different types of conformational constraints on the overall performance of the method, and the ability of a variety of recently developed scoring

test set, the overall scores were virtually indistinguishable with the AutoSlog dictionary achieving 99.7% of the performance of the handcrafted dictionary.

to the comparison group from reduced disease transmission, and therefore also underestimating benefits for the treatment group. We evaluate a Kenyan project in which school-based mass treatment with deworming drugs was randomly phased into schools, rather than to individuals, allowing estimation of overall program

). The results indicated that School A scored higher on all subjects and in all grades, supporting the findings from the literature review. These findings indicate that more research and resources need to go into decreasing this disparity in test scores and overall

political support. Therefore, new forms of regulation and governance are emerging (Jacobsson 2001a), based on and supported by new treaty provisions. The overall aim of the research project outlined in this report is to analyse the system of EU governance developing in EU employment policy. A core question

Republic. In this particular case, a Swedish construction combine introduced decentralised and project based accounting practices in an acquired German firm as part of an overall reform programme aiming for competitiveness and an increased identification with the acquirer. One conclusion of the analysis

SCOP folds. We used the Support Vector Machine and the Neural Network learning methods as base classiers. SVM converges fast and leads to high accuracy. When scores of multiple parameter datasets are combined, majority voting reduces noise and increases recognition accuracy. We examined many issues

Abstract Aggregating measure scores is an important step in multiple criteria decision-making, determining the overall effectiveness from dissimilar measures. One of the most popular aggregating methods is Simple Additive Weighting (SAW), which assigns weights to measures based on subjective