Topics in Cognitive Science 3 (2):273-302 (2011)
AbstractWhether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to a specific statistical process or to activation of embodied representations should be attributed to language itself. Specifically, the performance of LSA can be attributed to the linguistic surface structure, more than special characteristics of the algorithm, and embodiment findings attributed to perceptual simulations can be explained by distributional linguistic information
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References found in this work
Perceptual Symbol Systems.Lawrence W. Barsalou - 1999 - Behavioral and Brain Sciences 22 (4):577-660.
Citations of this work
Three Symbol Ungrounding Problems: Abstract Concepts and the Future of Embodied Cognition.Guy Dove - 2016 - Psychonomic Bulletin and Review 4 (23):1109-1121.
Neurocognitive Poetics: Methods and Models for Investigating the Neuronal and Cognitive-Affective Bases of Literature Reception.Arthur M. Jacobs - 2015 - Frontiers in Human Neuroscience 9.
Embodiment and Language Comprehension: Reframing the Discussion.Rolf A. Zwaan - 2014 - Trends in Cognitive Sciences 18 (5):229-234.
Thinking in Words: Language as an Embodied Medium of Thought.Guy Dove - 2014 - Topics in Cognitive Science 6 (3):371-389.
A Taste of Words: Linguistic Context and Perceptual Simulation Predict the Modality of Words.Max Louwerse & Louise Connell - 2011 - Cognitive Science 35 (2):381-398.
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