Most of the research on both G2P and MTL assumes the existence of a homogeneous training set of input-output pairs.
following the pivot approaches developed in other areas of NLP (Utiyama and Isahara, 2007;Cohn and Lapata, 2007;Wu and Wang, 2009;Snyder et al., 2009), the idea of taking advantage of other-language data has recently been applied to machine transliteration.