We now try to provide some intuitive insight into the most important techniques and distinctions involved in the seven groups of tasks above.  For this purpose, we need not comment further on quantifier scoping (in the fourth group) or any of the items in the sixth and seventh groups, as these are for the most part covered elsewhere in this article. In all cases, the two major requirements are the development (aided by learning) of a probabilistic model relating linguistic inputs to desired outputs, and the algorithmic use of the model in assigning labels or structures to previously unseen inputs.  