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van Deemter, Kees; Gatt, Albert; van der Sluis, Ielka; Power, Richard – Cognitive Science, 2012
This response discusses the experiment reported in Krahmer et al.'s Letter to the Editor of "Cognitive Science". We observe that their results do not tell us whether the Incremental Algorithm is better or worse than its competitors, and we speculate about implications for reference in complex domains, and for learning from "normal" (i.e.,…
Descriptors: Experiments, Natural Language Processing, Mathematics, Computational Linguistics
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Vasishth, Shravan; Brussow, Sven; Lewis, Richard L.; Drenhaus, Heiner – Cognitive Science, 2008
A central question in online human sentence comprehension is, "How are linguistic relations established between different parts of a sentence?" Previous work has shown that this dependency resolution process can be computationally expensive, but the underlying reasons for this are still unclear. This article argues that dependency…
Descriptors: Sentences, Stimuli, Short Term Memory, Information Retrieval
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Frank, Robert – Cognitive Science, 2004
Theories of natural language syntax often characterize grammatical knowledge as a form of abstract computation. This paper argues that such a characterization is correct, and that fundamental properties of grammar can and should be understood in terms of restrictions on the complexity of possible grammatical computation, when defined in terms of…
Descriptors: Syntax, Natural Language Processing, Computational Linguistics, Generative Grammar
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Stone, Matthew – Cognitive Science, 2004
I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex representations implicit in our knowledge of language. To develop the account, I argue that natural language is structured in a way that lets us formalize grammatical…
Descriptors: Language Usage, Semantics, Intuition, Grammar