In this paper we analyze the performance of execution of service workflows in virtual machines (VMs) used as resources in our service-oriented grid testbed (SGT). We chosen an app...
Carlos R. Senna, Luiz F. Bittencourt, Edmundo R. M...
This paper introduces mNCD, a method for automatic evaluation of machine translations. The measure is based on normalized compression distance (NCD), a general information theoret...
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPO...
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We beli...
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...