title: Computational principles of working memory in sentence comprehension.
abstract: Understanding a sentence requires a working memory of the partial products of comprehension, so that linguistic relations between temporally distal parts of the sentence can be rapidly computed. We describe an emerging theoretical framework for this working memory system that incorporates several independently motivated principles of memory: a sharply limited attentional focus, rapid retrieval of item (but not order) information subject to interference from similar items, and activation decay (forgetting over time). A computational model embodying these principles provides an explanation of the functional capacities and severe limitations of human processing, as well as accounts of reading times. The broad implication is that the detailed nature of cross-linguistic sentence processing emerges from the interaction of general principles of human memory with the specialized task of language comprehension.
authors.affiliation: Department of Psychology, University of Michigan, 530 Church Street, Ann Arbor, MI 48109, USA. rickl@umich.edu
authors.forename: Richard L
authors.initials: RL
authors.lastname: Lewis
authors.forename: Shravan
authors.initials: S
authors.lastname: Vasishth
authors.forename: Julie A
authors.initials: JA
authors.lastname: Van Dyke
mesh_terms: D001288:Attention; D032882:Comprehension; D006801:Humans; D008570:Memory, Short-Term; D008962:Models, Theoretical; D011578:Psycholinguistics; D011930:Reaction Time; D011932:Reading; D012153:Retention, Psychology; D012691:Serial Learning; D014706:Verbal Learning