In addition, there are circumstances in which the intentionality of the translation process cannot be ignored completely. This happens mostly when the intention of the translation differs from that of the original text. A few such examples are mentioned in the literature. Stymne et al. (2013) describe an SMT system that combines translation with text simplification to cater to target groups with reading difficulties of various types. One of their main problems is the lack of training **data** having the desired properties on the TL side. However, even if such training **data** is available, SMT training is not necessarily successful. A case in point is the translation of film subtitles, where the target side is often shortened as well as translated (Pedersen, 2007;Fishel et al., 2012). Anecdotal evidence suggests that MT systems easily learn the length ratio, but truncate the texts in an erratic way that has a negative effect on translation quality.