In E. L. Keenan (Ed.), Formal semantics of natural language. Cambridge, England: Cambridge University Press, 329-348.

In Schank, 157-288.

Publication 29, Institute of Linguistics, University of Stockholm.

Communication of the ACM 18(5):264-274, (reprinted in RNLP: 193-204)

AI Memo 237, AI Laboratory, Stanford University. (Also in A. Zampolli, Ed., Linguistic structures processing. Amsterdam: North-Holland,

In researc which lan uac; assumed knowled way it use of provide impreci recent h into a is to e. In that on re of th is used the cons s, to na se acous years, utomati (r,et a nost e need e lan u (pragma traints ke sens tic sit there has c speech u computer of this s to pro are (its s tics). It and expec e of the i nal that i been a nderstan to und recent a vide th yntax an will th tations nherentl s human rroat increase in dine, the purpose of erstand the spoken ctivity, it has been e computer with a d semantics) and the en be able to make which this knowledfre y vaf ue, sloppy and soeech. Syntactic constraints and expectations are based on the patterns formed by a Riven set of linguistic objects, e. .

In Schank and Colby, 114-151

AFIPS Conference Proceedings, Vol 42, pp. 441-450, Montvale, New Jersey: AFIPS Press, 1973

In Computer Models of Thought and Language, R. C. Schank and K. M. Colby, eds. San Francisco: W. H. Freeman, pp. 114–151.

IJCAI-73, pp. 344–351