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.
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Issue
Scouting the grand vista: From curiosity-driven research to real world application
28-30 October 2009, Development Academy of the Philippines Convention Center, Tagaytay City