The independent model is a generalization of IBM Model 1 (Brown et al., 1993) to the lexicon learning problem, and -like IBM Model 1 -its loglikelihood function is concave (see Appendix A).
the EM algorithm will converge to a global optimum of the data loglikelihood under this model.