Robust network parameters in single document translations
Abstract
A comparison of network parameters from a set of random documents confirms robustness for single-document translation sets. Similarities in trend quantified with the correlation quality Q for the network parameter Knn distinguish sets composed of single-document translations from sets composed of random unrelated documents.








