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This paper describes an efficient sampler for synchronous grammar induction under a non- parametric Bayesian prior. Inspired by ideas from slice sampling, our sampler is able to draw samples from …...

Topic models traditionally rely on the bag- of-words assumption. In data mining appli- cations, this often results in end-users being presented with inscrutable lists of topical un- igrams, single words …...

We apply slice sampling to Bayesian de- cipherment and use our new decipherment framework to improve out-of-domain machine translation. Compared with the state of the art algorithm, our approach is …...

In hierarchical phrase-based machine translation, a rule table is automatically learned by heuristically extracting syn- chronous rules from a parallel corpus. As a result, spuriously many rules are extracted which …...