A recursive statistical translation model
Juan Miguel Vilar, Enrique Vidal · 2005
A new model for statistical translation is presented. A novel feature of this model is that the alignments it produces are hierarchically arranged. The generative process begins by splitting the input sentence in two parts. Each of the parts is translated by a recursive application of the model and the resulting translation are then concatenated. If the sentence is small enough, a simpler model (in our case IBM's model 1) is applied.