First, the typical one, in which the CLTE model is trained on labeled data for the same pair of languages L 1 -L 2 of the test set.
instead of checking what of a given sentence can be found in the other, current approaches limit the analysis to the amount of lexical elements they share, under the rough assumption that the more the better.