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Abstract: Naturally occurring speech contains only a limited amount of complex recursive structure, and this is reflected in the empirically documented difficulties that people experience when processing such structures. We present a connectionist model of human performance in processing recursive language structures. The model is trained on simple artificial languages. We find that the qualitative performance profile of the model matches human behavior, both on the relative difficulty of center-embedded ... (Update)
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BibTeX entry: (Update)
Christiansen, M.H. & Chater, N. (in submission). Toward a Connectionist Model of Recursion in Human Linguistic Performance. Cleeremans, A. (1993). Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing. Cambridge, MA: MIT Press. http://citeseer.ist.psu.edu/christiansen99toward.html More
@article{ christiansen99toward,
author = "Morten H. Christiansen and Nick Chater",
title = "Toward a connectionist model of recursion in human linguistic performance",
journal = "Cognitive Science",
volume = "23",
number = "2",
pages = "157-205",
year = "1999",
url = "citeseer.ist.psu.edu/christiansen99toward.html" }
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