Abstract
An implementation of neural network models for reading English words aloud is proposed. Since 1989, there has been existing a debate in neuropsycholgy and cognitive science about the models of reading. One is the Dual Route Cascaded model, another is the Triangle model. Since there exist arbitrary variables in both models, it was difficult to decide which model would be appropriate to explain the data from psychological experiments and neuropsychological evidence. Therefore, in order to provide a solution of this debate, an attempt to integrate both models was attempted. By introducing the Mixtures of Experts Network model, a solution to overcome the arbitrariness of both models could be given. The Mixtures of Experts Network model could include both models as a special case. From the Mixtures of Experts network’s point of view, the difference between the Dual Route Cascaded model and the Triangle model would be considered as a quantitative difference of the dispersion parameters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Coltheart, M., Curtis, B., Atkins, P., Haller, M.: Models of reading aloud: Dual-route and parallel-distriputed-processing approaches. Psychological Review 100(4), 589–608 (1993)
Coltheart, M., Rastle, K.: Serial processing in reading aloud: Evidence for dual-route models of reading. Journal of Experimental Psychology: Human Perception and Performance 20, 1197–1211 (1994)
Coltheart, M., Rastle, K., Perry, C., Langdon, R., Ziegler, J.: Drc: A dual route cascaded model of visual word recognition and reading aloud. Psychological Review 108, 204–256 (2001)
Glushko, R.J.: The organization and activation of orthographic knowledge in reading aloud. Journal of Experimental Psyhology: Human Perception and Performance 5, 674–691 (1979)
Jacobs, R.A., Jordan, M.I., Nowlan, S.J., Hinton, G.E.: Adaptive mixtures of local experts. Neural Computation 3, 79–87 (1991)
Jordan, M.I., Jacobs, R.A.: Hierarchical mixtures of experts and the em algorithm. Neural Computation 6, 181–214 (1994)
O’Reilly, R.C., Munakata, Y.: Computational Explorations in Cognitive Neuroscience: Understanding in mind by simulating the brain. MIT Press, Cambridge (2000)
Plaut, D.C., McClelland, J.L., Seidenberg, M.S., Patterson, K.: Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review 103, 56–115 (1996)
Seidenberg, M.S., McClelland, J.L.: A distributed, developmetal model of word recognition and naming. Psychological Review 96(4), 523–568 (1989)
Seidenberg, M.S., Petersen, A., Plaut, D.C., MacDonald, M.C.: Pseudohomophone effects and models of word recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition 22(1), 48–62 (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Asakawa, Si. (2008). Mixtures of Experts: As an Attempt to Integrate the Dual Route Cascaded and the Triangle Models for Reading English Words. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4985. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69162-4_78
Download citation
DOI: https://doi.org/10.1007/978-3-540-69162-4_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69159-4
Online ISBN: 978-3-540-69162-4
eBook Packages: Computer ScienceComputer Science (R0)