Language comprehension and interpretation can be set within a general cognitive science perspective that encompasses both human minds and intelligent machine systems. This comprehensive view, however, must necessarily entail the search for compatibility between various types of concepts or models subsuming classes of facts obtained through specific methods, and hence belonging to various scientific domains, from artificial intelligence to cognitive psychology, and ranging over linguistics, logics, neurosciences, and others.

No sub-domain of cognitive science is more fascinating for the exploration of such functional identities between artificial and natural processing or representation and none deserves more to be comparatively worked out than language comprehension or interpretation. The purpose of this chapter is to highlight some of these identities, but also some differences, in particular as concerns lexical semantics.

A large number of concepts are obviously shared by computational semantics and cognitive psychology. I will approach them in this chapter mainly in the form of relational properties, belonging to lexical-semantic, or lexical-conceptual, units, and will classify them according to whether they can be attributed, or not, to both mental and machine representations. For the sake of simplicity I will often restrict this comparison to consideration of lexical units that are expressed by nouns in most natural languages and which, as a rule, denote classes of objects or individuals. But other kinds of lexical-conceptual units, expressed in these natural languages by verbs, adjectivals, prepositions, function words, etc., and which denote events or actions, properties, various sorts of relations, etc., could also be submitted to this type of analysis and comparison.