On the referential competence of some machines

摘要

The main reason why systems of natural language understanding are often said not to “really” understand natural language is their lack of referential competence. A traditional system, even an ideal one, cannot relate language to the perceived world, whereas — obviously-a human speaker can. The paper argues that the recognition abilities underlying the application of language to the world are indeed a prerequisite of semantic competence.