When we build a probabilistic language model based on the transition probabilities of syntactic classes instead of on the transition probabilities of word forms, then the system of syntactic classes used is extremely important. In this paper we will report on experiments done for seven languages in which two different syntactic coding systems per language were tested against three other variables: order of probabilistic knowledge, EEC office text versus Newspaper text and 'known' versus 'unknown' text-material.