ERIC Number: ED058764
Record Type: RIE
Publication Date: 1971-Jul
Reference Count: 0
Augmented Transition Networks as Psychological Models of Sentence Comprehension.
Kaplan, Ronald M.
This paper describes the notation and underlying organization of an augmented, recursive-transition network grammar and illustrates how such a grammar is a natural medium for expressing and explaining a wide variety of facts about the psychological processes of sentence comprehension. A general discussion of transformational grammar and psycholinguistics serves as background information. Details on the structure, characteristics, and operation of the augmented, recursive-transition network grammar are provided. There is a discussion concerning the formalization of perceptual strategies and how these strategies can be naturally represented in transition network grammars. A concluding section explains the justification of transition network models. A list of references is included, and diagrams illustrate the working of the grammar in several problem areas. (VM)
Descriptors: Algorithms, Cognitive Processes, Computational Linguistics, Computer Programs, Deep Structure, Grammar, Information Processing, Language Research, Linguistic Performance, Linguistic Theory, Psycholinguistics, Sentence Structure, Sentences, Structural Analysis, Surface Structure, Syntax, Transformational Generative Grammar
Publication Type: N/A
Education Level: N/A
Authoring Institution: Language Research Foundation, Cambridge, MA.
Note: In "Language Research Reports," No.4