Using only lexSimScore the system achieved an F-measure of 28.24% on the LexNorm1.1 dataset and 38.70% on the Trigram dataset, which shows that lexical similarity alone is not enough for a good normalization system.
the externalScore which is the layer that is more aware of the Internet jargon, along with some social text specific rule based transliterations performs better than expected on both datasets.