They used the techniques for traditional SMT models, under the IBM framework (Watanabe and Sumita, 2002) or the feature-driven linear models (Finch and Sumita, 2009;Zhang et al., 2013).
the target-bidirectional techniques we have developed for the unified neural network framework, target a pressing need directly motivated by a fundamental issue suffered by recurrent neural networks.