Jin Ning

NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization

2015

User generated content often contains non-standard words that hinder effective automatic text processing. In this paper, we present a system we developed to perform lexical normalization for English Twitter text. It first generates candidates based …