Inversion Transduction Grammars

We present an unsupervised model for joint phrase alignment and extraction using non- parametric Bayesian methods and inversion transduction grammars (ITGs). The key con- tribution is that phrases of many …...

We report a wide range of comparative experiments establishing for the first time contrastive foundations for a completely unsupervised approach to bilingual grammar induction that is cognitively oriented toward early …...

AbstractAttention-based sequence-to-sequence neural network models learn to jointly align and translate. The quadratic-time attention mechanism is powerful as it is capable of handling arbitrary long-distance reordering, but computationally expensive. In …...