Before revision:  Many approaches have been explored to improve the performance of thismodel especially in low resource languages where the amount of parallel data is not sufficient to train an acceptable backward model . Among such works are the use of self-learning and the iterative back-translation. These methods were shown to perform better than the standard back-translation.
After revision:  Despite this, only the forward model is improved on the monolingual target data in standard back-translation.