We implement a CNN as the AA model and compare its performance when initialized with our embeddings, tuned based on natural writing errors, to the one obtained when bootstrapped with the SSWE, proposed by <cite>Alikaniotis et al. (2016)</cite> , that relies on random noisy contexts and script scores.