... since no Stochastic OT grammar can provide an exact fit to the data: the candidate [ubita] violates an extra constraint compared to [liri.ito], and [ubasita] violates the same constraint as [liryosito] ... missing data and become a complete data model, computation becomes significantly simpler This type of idea is officially known as Data Augmentation (Tanner and Wong, 1987) More specifically, we also make ... these parameters, but the observation remains the same 14 See (Keller and Asudeh, 2002) for a summary 352 From a non -Bayesian perspective, the MCMC-based approach can be seen as a randomized strategy...