This article seeks to support the law of growing standardization by showing that texts translated into Belgian Dutch make more use of standard language than non-translated Belgian Dutch texts. Additionally, it wants to examine whether the use of standard vs. non-standard language can be attributed to the variables text type and source language. In order to achieve that goal, the article gathered a diverse set of linguistic variables and used a 10-million-word corpus that is parallel, comparable and bidirectional (the Dutch Parallel Corpus; Macken et al. 2011). The frequency counts for each of the variables are used to determine the differences in standard language use by means of profile-based correspondence analysis (Plevoets 2008). The results of the analysis show that (i) in general, there is indeed a standardizing trend among translations and (ii) text types with a lot of editorial control (fiction, non-fiction and journalistic texts) contain more standard language than the less edited text types (administrative texts and external communication) which adds support for the idea that the differences between translated and non-translated texts are text type dependent.