For the past 15 years there has been a serious interest in the processing of natural language (English) by researchers in Artificial Intelligence (A.I.). This processing has included machine translation, question-answering systems, man-machine dialogue, and speech understanding. This interest has engendered an awareness of and a concern with the ongoing activity in contemporary linguistics. Therefore, it may be of interest to linguistis to discover what has seemed important for A.I. and how it has been adapted and used. Thus a brief history of the relation (almost always one-way) between A.I. and linguistics is presented. Some of the works in A.I. surveyed range from those of the early sixties, such as Lindsay's SAD SAM, Green et al BASEBALL, and Bobrow's STUDENT, to more recent efforts, including Wood's transition network grammars, Winograd's SHRDLU, and Schank's conceptual dependency models. In one way or another, these computer programs and others depend on the work of Chomsky, both "Syntactic Structures" and "Aspects," Halliday's systemic grammar, and some of the ideas of generative semantics as developed by G. Lakoff, McCawley, and Fillmore. (Author/KM)