A higher dimension or a larger Gaussian component number hurts the model performance and requires much more time for learning.
model WSJ T  S  T  S  T  S  T  S  T  S  T  S  T  S  T  S  T  S   LVG-D-   our choice of K r = 4 and d = 3 in Gm-LVeGs for parsing is a good balance between the efficiency and the parsing accuracy.