In order to compute the dot product of the feature vectors in the exponentially high dimensional feature space, we introduce the tree kernel functions as follows: The iBTK is defined as a composite kernel consisting of a source tree kernel and a target tree kernel which measures the source and the target structural similarity respectively.
the composite kernel can be computed using the ordinary monolingual tree kernels (Collins and Duffy, 2001).