Dynamical models of sentence processing

Cognitive Science

Volumn 23, Issue 4, 1999, Pages 491-515

  Tabor, Whitney ^a   Tanenhaus, Michael K ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033212322     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15516709cog2304_5     Document Type: Article

References (51)

1. Abraham, R. H., & Shaw, C. D. (1984). Dynamics - The geometry of behavior, Books 0-4. Aerial Press, Inc., P.O. Box 1360, Santa Cruz, CA.
2. Ainsworth-Darnell, K., Shulman, H., & Boland, J. E. (1998). Dissociating brain responses to syntactic and semantic anomalies: Evidence from event-related potentials. Journal of Memory and Language, 38, 112-130.
3. Almeida, L. B. (1987). A learning rule for asynchronous perceptions with feedback in a combinatorial environment. In M. Caudil & C. Butler (Eds.), Proceedings of the IEEE First Annual International Conference on Neural Networks (pp. 609-618). San Diego, CA: IEEE.
4. Burgess, C., & Lund, K. (1997). Modeling parsing constraints with a high-dimensional context space. Language and Cognitive Processes, 12, 177-210.
5. Charniak, E. (1993). Statistical Language Learning. Cambridge, MA: MIT Press.
6. Christiansen, M. H. (1994). Infinite Languages, Finite Minds: Connectionism, Learning, and Linguistic Structure. Unpublished doctoral dissertation, University of Edinburgh.
7. Christiansen, M. H., & Chater, N. (1999). Toward a connectionist model of recursion in human linguistic performance. Cognitive Science, 23, 157-205.
8. Christiansen, M. H., & Chater, N. (1999). Connectionist natural language processing: The state of the art. Cognitive Science, 23, 000-000.
9. Cottrell, G. W. (1985). Connectionist parsing. In Proceedings of the Seventh Annual Meeting of the Cognitive Science Society (pp. 201-11). Irvine, CA: Cognitive Science Society.
10. Cottrell, G. W., & Small, S. (1983). A connectionist scheme for modeling word sense disambiguation. Cognition and Brain Theory, 6, 89-120.
11. Cottrell, G. W., & Small, S. (1984). Viewing parsing as word sense discrimination: A connectionist approach. In B. Bara, & G. Guida (Eds.), Computational Models of Natural Language Processing (pp. 91-119). Amsterdam: North Holland.
12. Crutchfield, J. P. (1994). The calculi of emergence: Computation, dynamics, and induction. Physica D, 75, 11-54.
13. Elman, J. L. (1990). Finding structure in time. Cognitive Science, 14, 179-211.
14. Elman, J. L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7, 195-225.
15. Frazier, L., & Charles Clifton, J. (1996). Construal. Cambridge, MA: MIT Press.
16. Garnsey, S. M. (1993). Event-related brain potentials in the study of language: An introduction. Language and Cognitive Processes, 8, 337-356.
17. Gibson, E. (1998). Linguistic complexity: Locality of syntactic dependencies. Cognition, 68(1), 1-76.
18. Hagoort, P., Brown, C., & Groothusen, J. (1993). The syntactic positive shift (SPS) as an ERP measure of syntactic processing. Language and Cognitive Processes, 8, 439-483.
19. Hopcroft, J. E., & Ullman, J. D. (1979). Introduction to Automata Theory, Languages, and Computation. Menlo Park, CA: Addison-Wesley.
20. Jolliffe, I. T. (1986). Principal Component Analysis. New York: Springer-Verlag.
21. Juliano, C., & Tanenhaus, M. (1993). Contingent frequency effects in syntactic ambiguity resolution. In Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society (pp. 593-598). Mahwah, NJ: Lawrence Erlbaum Associates.
22. Jurafsky, D. (1996). A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science, 20, 137-194.
23. Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104, 211-240.
24. MacDonald, M. C., Pearlmutter, N. J., & Seidenberg, M. S. (1994). The lexical nature of syntactic ambiguity resolution. Psychological Review, 101, 676-703.
25. MacDonald, M. C., & Christiansen, M. H. (in press). Reassessing working memory: A reply to Just & Carpenter and Waters & Caplan. Psychological Review.
26. McRae, K., Spivey-Knowlton, M. J., & Tanenhaus, M. K. (1998). Modeling the influence of thematic fit (and other constraints) in online sentence comprehension, Journal of Memory and Language, 38, 283-312.
27. McClelland, J., & Rumelhart, D. (1981). An interactive activation model of context effects in letter perception, Part I. Psychological Review, 88, 375-402.
28. McElree, B., & Griffith, T. (1995). Syntactic and thematic processing in sentence comprehension: Evidence for a temporal dissociation. Journal of Experimental Psychology: Language, Memory, and Cognition, 21, 134-157.
29. Osterhout, L., & Holcomb, P. J. (1993). Event-related potentials and syntactic anomaly: Evidence for anomaly detection during the perception of continuous speech. Language and Cognitive Processes, 8, 413-437.
30. Pineda, F. J. (1995). Recurrent backpropagation networks. In Y. Chauvin & D. E. Rumelhart (Eds.), Backpropagation: Theory, Architectures, and Applications (pp. 99-136). Hillsdale, NJ: Erlbaum.
31. Plaut, D. C., McClelland, J. L., Seidenberg, M. S., & Patterson, K. E. (1996). Understanding normal and impaired word reading: Computational principles in quasi-regular domains. Psychological Review, 103, 56-115.
32. Pollack, J. B. (1990). Recursive distributed representations. Artificial Intelligence, 46, 77-106.
33. Rodriguez, P., Wiles, J., & Elman, J. (1999). A recurrent neural network that learns to count. Connection Science, 11(1), 5-40.
34. Rumelhart, D., Durbin, R., Golden, R., & Chauvin, Y. (1995). Backpropagation: The basic theory. In Backpropagation: Theory, Architectures, and Applications. Hillsdale, NJ: Lawrence Erlbaum Associates.
35. Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986a). Learning internal representations by error propagation. In Rumelhart, D. E., McClelland, J. L., & the PDP Research Group, (Eds.), Parallel Distributed Processing (Vol. 1, pp. 318-362). Cambridge, MA: MIT Press.
36. Rumelhart, D. E., McClelland, J. L., & the PDP Research Group (1986b). Parallel Distributed Processing. Explorations in the Microstructure of Cognition. (Vol. 1). Cambridge, MA: MIT Press.
37. Selman, B., & Hirst, G. (1985). A rule-based connectionist parsing system. In Proceedings of the Seventh Annual Meeting of the Cognitive Science Society (pp. 212-221). Irvine, CA: Cognitive Science Society.
38. Servan-Schreiber, D., Cleeremans, A., & McClelland, J. L. (1991). Graded state machines: The representation of temporal contingencies in simple recurrent networks. Machine Learning, 7, 161-193.
39. Spivey-Knowlton, M. (1996). Integration of Visual and Linguistic Information: Human Data and Model Simulations. Unpublished doctoral dissertation, University of Rochester.
40. St. John, M. F., & McClelland, J. L. (1990). Learning and applying contextual constraints in sentence comprehension. Artificial Intelligence, 46, 217-257.
41. Strogatz, S. (1994). Nonlinear Dynamics and Chaos. Reading, MA: Addison-Wesley.
42. Tabor, W. (1994). Syntactic Innovation: A Connectionist Model. Unpublished doctoral dissertation, Stanford University.
43. Tabor, W. (1998). Dynamical Automata. Technical Report No. TR98-1694, Cornell Computer Science Department. Available at http://cs-tr.cs.cornell.edu/.
44. Tabor, W., Juliano, C., & Tanenhaus, M. (1996). A dynamical system for language processing. In Cottrell, G. W. (Ed.), Proceedings of the Eighteenth Annual Meeting of the Cognitive Science Society (pp. 690-695). Hillsdale, NJ: Lawrence Erlbaum Associates.
45. Tabor, W., Juliano, C., & Tanenhaus, M. (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, 211-271.
46. Tanenhaus, M. K., & Trueswell, J. C. (1995). Sentence comprehension. In Miller, J., & Eimas, P., (Eds.), Handbook of Perception and Cognition. (Vol. 1, pp. 217-262). San Diego: Academic Press.
47. Trueswell, J. C. (1996). The role of lexical frequency in syntactic ambiguity resolution. Journal of Memory and Language, 35, 566-585.
48. Waltz, D. L., & Pollack, J. B. (1985). Massively parallel parsing: A strongly interactive model of natural language interpretation. Cognitive Science, 9, 51-74.
49. Weckerley, J., & Elman, J. (1992). A PDP approach to processing center-embedded sentences. In Proceedings of the Fourteenth Annual Meeting of the Cognitive Science Society (pp. 414-419). Mahwah, NJ: Lawrence Erlbaum Associates.
50. Wiles, J., & Elman, J. (1995). Landscapes in recurrent networks. In Moore, J. D., & Lehman, J. F., (Eds.), Proceedings of the Seventeenth Annual Meeting of the Cognitive Science Society (pp. 482-487). Hillsdale, NJ: Erlbaum.
51. Williams, R. J., & Peng, J. (1990). An efficient gradient-based algorithm for on-line training of recurrent network trajectories. Neural Computation, 2, 490-501.