Tasks   Table 1 compares LaSyn versions against some of the state-of-the-art models on the IWSLT'14 dataset.
since deep neural network is differentiable, we can update θ by taking a gradient ascent step: The resulting algorithm belongs to the class of generalized EM algorithms and is guaranteed (for a sufficiently small learning rate η) to converge to a (local) optimum of the data log likelihood (Wu, 1983).