This paper surveys several state-of-the-art reordering techniques employed in Statistical Machine Translation systems. Reordering is understood as the word-order redistribution of the translated words. In original SMT systems, this different order is ony modeled within the limits of translation units. Relying only in the reordering provided by translation units may not be good enought in most language pairs, whichmight require longer reorderings. Therefore, additional techniques may be deployed to face the reordering challenge. The Statistical Machine Translation community has been very active recently in deveoping reordering techniques. This paper gives a brief survey and classification of seevral well-known reordering approaches.