In this triangular architecture, Z is taken as the intermediate latent variable, and translation models of Z are jointly optimized with a unified bidirectional EM algorithm under the goal of maximizing the translation likelihood of (X, Y).
t-S cannot improve the performance obviously (only about 0.2 BLEU) on RNNSearch because it fails to essentially double training data via the teacher model.