For Persian-English translation model, weights are optimized using a set 1000 sentences randomly sampled from the parallel corpus while the English-Arabic translation model weights are optimized using a set of 500 sentences from the 2004 NIST MT evaluation test set (MT04).
we show positive results for Persian-Arabic SMT (from 0.4 to 3.1 BLEU on different direct training corpus sizes).