Abstract
In this presentation/poster the process of training and evaluating NMT systems for a language pair including a low-resource language variety is presented. A parallel corpus for this language pair in the domain of legal texts has been compiled. As the size of the compiled corpus is not enough for the training, we have combined this corpus with several parallel corpora using data weighting at sentence level. An evaluation of each combination and of two popular commercial systems was carried out.