Thirdly, we demonstrate experimentally, in Section 5, that multiple many-tomany alignments may be an extremely useful first step in boosting the performance of a G2P model.
clearly, a system with more information should not perform worse than a system with less information (unless the additional information is highly noisy), but it is a priori not clear at all how the extra information can be included, as Bhargava and Kondrak (2012) note: output predictions may be in distinct alphabets and/or follow different conventions, and simple rule-based conversions may even deteriorate a baseline system's performance.