In this work we present two primary methods of synthesizing natural noise, in accordance with the types of noise identified in prior work as naturally occurring in internet and social media based text (Eisenstein, 2013;Michel and Neubig, 2018).
we introduce a synthetic noise induction model which heuristically introduces types of noise unique to social media text and labeled back translation (Sennrich et al., 2015a), a data-driven method to emulate target noise.