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This paper describes the T ÜB İTAK Turkish-English submissions in both directions for the IWSLT'13 Evaluation Campaign TED Machine Translation (MT) track. We develop both phrase-based and hierarchical phrase-based statistical machine translation (SMT) systems based on Turkish wordand morpheme-level representations. We augment training data with content words extracted from itself and experiment with reverse word order for source languages. For the Turkish-to-English direction, we use Gigaworddblp:conf/iwslt/YilmazEAOM13 fatcat:7rovegvqi5b7xmz5ibw3lvz7fq