Improving translation quality stability using Bayesian predictive adaptation ?
Bayesian predictive adaptation (BPA) is presented for model adaptation in SMT. Results are presented for a standard adaptation task (JHU SummerWorkshop 2012). Comparison between different sampling strategies. In-depth analysis of stability of most common optimisation algorithms in SMT. Computational cost comparison among the methods presented.
adaptation bayesian methods natural language processing machine translation