Man-Machine interaction in natural language: Computational models of dialogue

This article presents a state-of-the-art review of studies on computational modeling of dialogue. Particular attention is given to the treatment of ill-formed input, the prevention of the hearer's misconceptions, the inference of the speaker's plans, the generation of language, and the recognition of dialogue focus-particularly in terms of implications for linguistics. Specifications and initial results of some recent studies carried out by the author are provided.