@ARTICLE{Rahimi, author = {Rahimi, Zahra and Khadivi, Shahram and Faili, Heshaam and }, title = {Using Dependency Tree Grammar to Enhance the Reordering Model of Statistical Machine Translation Systems }, volume = {6}, number = {4}, abstract ={We propose three novel reordering models for statistical machine translation. These reordering models use dependency tree to improve the translation quality. All reordering models are utilized as features in a log linear framework and therefore guide the decoder to make better decisions about reordering. These reordering models are tested on two English-Persian parallel corpora with different statistics and domains. The BLEU score is improved by 2.5 on the first corpus and by 1.2 on the other. }, URL = {http://ijict.itrc.ac.ir/article-1-117-en.html}, eprint = {http://ijict.itrc.ac.ir/article-1-117-en.pdf}, journal = {International Journal of Information and Communication Technology Research}, doi = {}, year = {2014} }