Синхронды грамматика индукциясы

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 …...

We present a global log-linear model for synchronous grammar induction, which is capable of incorporating arbitrary features. The parameters in the model are trained in an unsuper- vised fashion from …...

Traditional synchronous grammar induction estimates parameters by maximizing likeli- hood, which only has a loose relation to trans- lation quality. Alternatively, we propose a max-margin estimation approach to discrim- inatively …...