@inproceedings{e03da29bec854cccb7b67ea51dba2bfa,
title = "Modeling Concept Activation in Working Memory during Online Sentence Processing",
abstract = "There have been several computational alternatives to the cloze task (Taylor, 1953) intended to approximate word predictability effects on eye movements during reading. In this study, we implement a computational model that instantiates each content word in a sentence as an input that activates semantic concepts in working memory. The predictability of a word is then determined by the extent to which its corresponding semantic representation is associated with the network of concepts already active in working memory from the preceding context. The computation of concept activation is based on a connectionist model (Landscape model, see van den Broek, 2010). Latent semantic analysis (LSA) is used to establish connections between words and simulate the long-term semantic associations among concepts (Landauer & Dumais, 1997). This model provides a means of investigating how language comprehension and eye movement behavior are affected by the activation of concepts in working memory.",
keywords = "eye movements, Landscape model, latent semantic analysis, reading, word predictability",
author = "Patrick Plummer and Wang, {Hsueh Cheng} and Yuhtsuen Tzeng and Marc Pomplun and Keith Rayner",
note = "Publisher Copyright: {\textcopyright} CogSci 2012.All rights reserved.; null ; Conference date: 01-08-2012 Through 04-08-2012",
year = "2012",
language = "English",
series = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
publisher = "The Cognitive Science Society",
pages = "875--880",
editor = "Naomi Miyake and David Peebles and Cooper, {Richard P.}",
booktitle = "Building Bridges Across Cognitive Sciences Around the World - Proceedings of the 34th Annual Meeting of the Cognitive Science Society, CogSci 2012",
}