Computational Psycholinguistics Bibliography

  Aylett, M. and Turk, A. (2004). The Smooth Signal Redundancy Hypothesis: A functional explanation for relationships between redundancy, prosodic prominence, and duration in spontaneous speech. Language and Speech, 47(1):31-56.
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  Dubey, A., Keller, F., and Sturt, P. (2007). A probabilisitic corpus-based model of syntactic parallelism. Submitted.
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  Gibson, E. (2006). The interaction of top-down and bottom-up statistics in the resolution of syntactic category ambiguity. Journal of Memory and Language, 54:363-388.
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  Goldwater, S., Griffiths, T. L., and Johnson, M. (2007). Distributional cues to word segmentation: Context is important. In Proceedings of the 31st Boston University Conference on Language Development.
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  Griffiths, T. L., Steyvers, M., and Tenenbaum, J. B. (in press). Topics in semantic representation. Psychological Review.
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  Hale, J. (2001). A probabilistic Earley parser as a psycholinguistic model. In Proceedings of NAACL, volume 2, pages 159-166.
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  Hale, J. (2006). Uncertainty about the rest of the sentence. Cognitive Science, 30(4).
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  Jurafsky, D. (1996). A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science, 20(2):137-194.
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  Just, M. A. and Carpenter, P. A. (1992). A capacity theory of comprehension: Individual differences in working memory. Psychological Review, 99(1):122-149.
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  Keller, F. (2004). The entropy rate principle as a predictor of processing effort: An evaluation against eye-tracking data. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 317-324, Barcelona.
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  Kello, C. T. and Plaut, D. C. (2003). Strategic control over rate of processing in word reading: A computational investigation. Journal of Memory and Language, 48:207-232.
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  Konieczny, L. (2005). The psychological reality of local coherences in sentence processing. In Proceedings of the 27th Annual Conference of the Cognitive Science Society.
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  Levy, R. (2006). Expectation-based syntactic comprehension. Ms., University of Edinburgh.
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  Levy, R. and Jaeger, T. F. (2006). Speakers optimize information density through syntactic reduction. In Advances in Neural Information Processing Systems.
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  Lewis, R. L. and Vasishth, S. (2005). An activation-based model of sentence processing as skilled memory retrieval. Cognitive Science, 29:1-45.
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  Lewis, R. L., Vasishth, S., and Dyke, J. V. (2006). Computational principles of working memory in sentence comprehension. Trends in Cognitive Science, 10(10).
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  MacDonald, M. C. and Christiansen, M. H. (2002). Reassessing working memory: Comment on Just and Carpenter (1992) and Waters and Caplan (1996). Psychological Review, 109(1):35-54.
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  Mohammad, S. and Hirst, G. Distributional measures as proxies for semantic relatedness. Submitted.
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  Moscoso del Prado Martín, F., Kostic, A., and Baayen, R. H. (2004). Putting the bits together: an information theoretical perspective on morphological processing. Cognition, 94:1-18.
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  Narayanan, S. and Jurafsky, D. (2004). A Bayesian model of human sentence processing. Ms., University of California at Berkeley.
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  Norris, D. (2006). The Bayesian reader: Explaining word recognition as an optimal Bayesian decision process. Psychological Review, 113(2):327-357.
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  Swingley, D. (2005). Statistical clustering and the contents of the infant vocabulary. Cognitive Psychology, 50:86-132.
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  Tabor, W. and Hutchins, S. (2004). Evidence for self-organized sentence processing: Digging in effects. Journal of Experimental Psychology: Learning, Memory, and Cognition,, 30(2):431-450.
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  Tabor, W., Juliano, C., and Tanenhaus, M. K. (1997). Parsing in a dynamical system: An attractor-based account of the interaction of lexical and structural constraints in sentence processing. Language and Cognitive Processes, 12(2/3):211-271.
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  Yngve, V. (1960). A model and an hypothesis for language structure. In Proceedings of the American Philosophical Society, pages 444-466.
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