Several sets of explanatory variables – including shallow, language modeling, POS, syntactic, and discourse features – are compared and evaluated in terms of their impact on predicting the grade level of reading material for primary school students. We find that features based on in-domain language models have the highest predictive power. Entity-density (a discourse feature) and POS-features, ...