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ACT-R
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===Natural language=== A number of researchers have been using ACT-R to model several aspects of natural [[language]] understanding and production. They include models of syntactic parsing,<ref>Lewis, R. L. & Vasishth, S. (2005). An activation-based model of sentence processing as skilled memory retrieval. ''Cognitive Science, 29'', 375β419</ref> language understanding,<ref>Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing. ''Cognitive Science, 28'', 1β44.</ref> language acquisition <ref>Taatgen, N.A. & Anderson, J.R. (2002). Why do children learn to say "broke"? A model of learning the past tense without feedback. ''Cognition'', ''86(2)'', 123β155.</ref> and metaphor comprehension.<ref>Budiu R., & Anderson J. R. (2002). Comprehending anaphoric metaphors. ''Memory & Cognition, 30'', 158β165.</ref>
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