by being based on some form of phonetic, graphematic, or semantic similarity measure (Jurish, 2010;Bollmann, 2012;Amoia and Martinez, 2013).
neural networks -and particularly deep networks with several hidden layers -are assumed to work best when trained on large amounts of data.