Among various methods using pivot languages, the triangulation method (Cohn and Lapata, 2007;Utiyama and Isahara, 2007;Zhu et al., 2014), which translates by combining source-pivot and pivot-target translation models into a source-target 1 Code to replicate the experiments can be found at https://github.com/akivajp/acl2015 model, has been shown to be one of the most effective approaches.
in this paper, we propose a novel approach to remember the pivot phrases in the triangulation stage, and use a pivot language model as an additional information source at translation time.