This paper presents a comparative evaluation of Word Grammar (WG), the Minimalist Programme (MP), and the Matrix Language Frame model (MLF) regarding their predictions of possible combinations in a corpus of German–English mixed determiner–noun constructions. WG achieves the highest accuracy score. The comparison furthermore revealed a difference in accuracy of the predictions between the three models and a significant difference between WG and the MP. The analysis suggests that these differences depend on assumptions made by the models and the mechanisms they employ. The difference in accuracy between the models, for example, can be attributed to the MLF being concerned with agreement in language membership between the verb and the subject DP/NP of the clause. The significant difference between WG and the MP can be attributed to the distinct roles features play in the two syntactic theories and how agreement is handled. Based on the results, we draw up a list of characteristics of feature accounts that are empirically most adequate for the mixed determiner–noun constructions investigated and conclude that the syntactic theory that incorporates most of them is WG (Hudson 2007, 2010).