Moreover, a SuperARV language model was presented (Wang and Harper, 2002), in which lexical features and syntactic constraints were tightly integrated into a linguistic structure of SuperARV serving as a class in the model.
these knowledge was integrated in the representation level, and then the joint probabilities of words and corresponding SuperARVs were estimated.