 That they have found a home modelling—providing a semantics for—information flow across information channels is not as surprising as it might seem initially. Firstly, with some license we may think of a natural language lexicon as a database, and a grammar as a specification of the processing constraints on that database such that the processing constraints guarantee well-formed outputs. Secondly, one of situation and channel theory’s targets originally was natural language semantics itself, so the convergence is far from totally surprising. For example, Massimo Poesio (1993) appeals to the formal nomenclature of situation theory in order to build a theory of definite descriptions. Ginzburg (1993) uses the naturally fine-grained structures of situation theory to give a semantics for propositional attitudes. Hwang and Schubert (1993) implement natural Language Processing (NLP) controls via a situation theoretic framework. Westerhåll, Haglund and Lager (1993) appeal to situation theory to give a theory of text meaning where texts are treated as abstract states coding readers’ cognitive states.