8 found
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  1.  2
    Sarah Brown-Schmidt, Christine Gunlogson & Michael K. Tanenhaus (2008). Addressees Distinguish Shared From Private Information When Interpreting Questions During Interactive Conversation. Cognition 107 (3):1122-1134.
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  2. Sarah Brown-Schmidt & Agnieszka E. Konopka (2008). Little Houses and Casas Pequeñas: Message Formulation and Syntactic Form in Unscripted Speech with Speakers of English and Spanish. Cognition 109 (2):274-280.
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  3.  1
    Eun-Kyung Lee, Sarah Brown-Schmidt & Duane G. Watson (2013). Ways of Looking Ahead: Hierarchical Planning in Language Production. Cognition 129 (3):544-562.
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  4.  6
    Sarah Brown-Schmidt & Michael K. Tanenhaus (2004). Priming and Alignment: Mechanism or Consequence? Behavioral and Brain Sciences 27 (2):193-194.
    We agree with Pickering & Garrod's (P&G's) proposal that dialogue is an important empirical and theoretical test bed for models of language processing. However, we offer two cautionary notes. First, the enterprise will require explicit computational models. Second, such models will need to incorporate both joint and separate speaker and hearer commitments in ways that go beyond priming and alignment.
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  5.  1
    Rachel A. Ryskin, Ranxiao Frances Wang & Sarah Brown-Schmidt (2016). Listeners Use Speaker Identity to Access Representations of Spatial Perspective During Online Language Comprehension. Cognition 147:75-84.
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    Jake Kurczek, Sarah Brown-Schmidt & Melissa Duff (2013). Hippocampal Contributions to Language: Evidence of Referential Processing Deficits in Amnesia. Journal of Experimental Psychology: General 142 (4):1346.
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  7. Sarah Brown-Schmidt & Michael Tanenhaus (2008). Real-Time Investigation of Referential Domains in Unscripted Conversation: A Targeted Language Game Approach. Cognitive Science: A Multidisciplinary Journal 32 (4):643-684.
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  8. Si On Yoon & Sarah Brown-Schmidt (2013). What is the Context of Prediction? Behavioral and Brain Sciences 36 (4):376-377.
    We agree with Pickering & Garrod's (P&G's) claim that theories of language processing must address the interconnection of language production and comprehension. However, we have two concerns: First, the central notion of context when predicting what another person will say is underspecified. Second, it is not clear that P&G's dual-mechanism model captures the data better than a single-mechanism model would.
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