Computational Psycholinguistics Essential Readings: Matthew Crocker (in press). Computational Pscholinguistics. To appear in Blackwell Computational Linguistics and Natural Language Processing Handbook, edited by Alex Clark, Chris Fox and Shalom Lappin. Lectures 2, 6, 7, 8. Matthew Crocker (1999). Mechanisms for Sentence Processing. In: Garrod & Pickering (eds), Language Processing, Psychology Press, London, UK. Lectures 3, 4, 5. Dan Jurafsky (2003). Probabilistic Modeling in Psycholinguistics. In Bod et al (eds.). Probabilistic Linguistics. The MIT Press. Lectures 6, 7, 8. Alexander Clark. Unsupervised Language Acquisition: Theory and Practice. PhD thesis, COGS, University of Sussex. Chapter 2. Lecture 9. Afra Alishahi (2005). A Survey on Computational Models of Argument Structure Acquisition. Unpublished document. Lectures 9, 10. P. McLeod, K. Plunkett and E. T. Rolls (1998). Introduction to Connectionist Modelling of Cognitive Processes. Oxford University Press. Chapters: 1-5, 7, 9. Lecture 11. J. Elman (1990). Finding Structure in Time. Cognitive Science, 14: 179-211. Lecture 12. Optional Readings: Richard Cooper (2002). Modelling High-Level Cognitive Processes. Lawrence Earlbaum, Mahwah, NL. Matthew Crocker and Thorsten Brants (2000). Wide Coverage Probabilistic Sentence Processing. Journal of Psycholinguistic Research; 29(6):647-669. Daniel Jurafsky (1996). A Probabilistic Model of Lexical and Syntactic Access and Disambigiuation. Cognitive Science, 20, 137-194. Matthew Crocker and Steffan Corley (2002). Modular Architectures and Statistical Mechanisms: The Case from Lexical Category Disambiguation. In: Merlo & Stevenson (eds), The Lexical Basis of Sentence Processing, John Benjamins, Amsterdam. M. Seidenberg and M. MacDonald (1999). A Probabilistic Constraints Approach to Language Acquisition and Processing. Cognitive Science, 23(4): 569-588. Ken McRae, Michael Spivey-Knowlton, Michael Tanenhaus (1998). Modeling the Influence of Thematic Fit (and Other Constraints) in On-line Sentence Comprehension. Journal of Memory and Language, 38, 283-312. K. Plunkett and J. Elman (1997). Exercises in rethinking innateness: A Handbook for Connectionist Simulations. MIT Press. Chapters: 1-8, 11, 12. M. Christiansen and N. Chater (1999). Connectionist Natural Language Processing: The State of the Art. Cognitive Science, 23(4): 417-437. J. Elman (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7: 195-225. M. Steedman (1999). Connectionist Sentence Processing in Perspective. Cognitive Science, 23(4): 615-634.