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Christiansen, M. H. and Chater, N. (1999) Toward a connectionist model of recursion in human linguistic performance. Cognitive Science, 23(2):157--205.

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Allen, J. & Christiansen, M.H. (1996). Integrating multiple cues in word segmentation: A connectionist model using hints. In Proceedings of the Eighteenth Annual Cognitive Science Society Conference (pp. 370--375). Mahwah, NJ: Lawrence Erlbaum Associates.

Google

Anderson, J.R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.

Google

Bach, E., Brown, C. & Marslen-Wilson, W. (1986). Crossed and nested dependencies in German and Dutch: A psycholinguistic study. Language and Cognitive Processes, 1, 249--262.

Google

Batali, J. (1994). Artificial evolution of syntactic aptitude. In Proceedings from the Sixteenth Annual Conference of the Cognitive Science Society (pp. 27--32). Hillsdale, NJ: Lawrence Erlbaum Associates. 34

Google

Berwick, R.C & Weinberg, A.S (1984). The grammatical basis of linguistic performance: Language use and acquisition. Cambridge, MA: MIT Press.

Google

Blaubergs, M.S. & Braine, M.D.S. (1974). Short-term memory limitations on decoding selfembedded sentences. Journal of Experimental Psychology, 102, 745--748.

Google

Brill, E., Magerman, D., Marcus, M. & Santorini, B. (1990). Deducing linguistic structure from the statistics of large corpora. In DARPA Speech and Natural Language Workshop. Hidden Valley, Pennsylvania: Morgan Kaufmann.

Google

Bullinaria, J.A. (1994). Internal representations of a connectionist model of reading aloud. In Proceedings from the Sixteenth Annual Conference of the Cognitive Science Society (pp. 84--89). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Chalmers, D.J. (1990). Syntactic transformations on distributed representations. Connection Science, 2, 53--62.

Google

Charniak, E. (1993). Statistical language learning. Cambridge, MA: MIT Press.

Google

Chater, N. & Conkey, P. (1992). Finding linguistic structure with recurrent neural networks. In Proceedings of the Fourteenth Annual Meeting of the Cognitive Science Society (pp. 402--407). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Chater, N. & Oaksford, M. (1990). Autonomy, implementation and cognitive architecture: A reply to Fodor and Pylyshyn. Cognition, 34, 93--107.

Google

Chomsky, N. (1957). Syntactic structures. The Hague: Mouton.

Google

Chomsky, N. (1959). Review of Skinner (1957). Language, 35, 26--58.

Google

Chomsky, N. (1965). Aspects of the theory of syntax. Cambridge, MA: MIT Press.

Google

Christiansen, M.H. (1992). The (non)necessity of recursion in natural language processing. In Proceedings of the Fourteenth Annual Meeting of the Cognitive Science Society (pp. 665--670). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Christiansen, M.H. (1994). Infinite languages, finite minds: Connectionism, learning and linguistic structure. Unpublished doctoral dissertation, University of Edinburgh.

Google UIUC

Christiansen, M.H. (1998). Intrinsic constraints on the processing of recursive sentence structure. Manuscript in preparation, University of Southern California.

Google

Christiansen, M.H., Allen, J. & Seidenberg, M.S. (in press). Learning to segment speech using multiple cues: A connectionist model. Language and Cognitive Processes

Google

Christiansen, M.H. & Chater, N. (1994). Generalization and connectionist language learning. Mind and Language, 9, 273--287.

Google UIUC

Christiansen, M.H. & MacDonald, M.C. (1998). Processing of recursive sentence structure: Testing predictions from a connectionist model. Manuscript in preparation, University of Southern California. 35

Google

Church, K. (1982). On memory limitations in natural language processing. Bloomington, IN: Indiana University Linguistics Club.

Google

Cleeremans, A., Servan-Schreiber, D. & McClelland, J. L. (1989). Finite state automata and simple recurrent networks. Neural Computation, 1, 372--381.

Google

Cliff, N. (1987). Analyzing multivariate data. Orlando, FL: Harcourt Brace Jovanovich.

Google

Cottrell, G.W. & Plunkett, K. (1991). Learning the past tense in a recurrent network: Acquiring the mapping from meanings to sounds. In Proceedings of the Thirteenth Annual Meeting of the Cognitive Science Society (pp. 328--333). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Dell, G.S., Chang, F. & Griffin, Z.M. (in press). Connectionist models of language production: Lexical access and grammatical encoding. Cognitive Science.

Google

Dickey, M.W. & Vonk, W. (1997). Center-embedded structures in Dutch: An on-line study. Poster presented at the Tenth Annual CUNY Conference on Human Sentence Processing. Santa Monica, CA, March 20--22.

Google

Elman, J.L. (1990). Finding structure in time. Cognitive Science, 14, 179--211.

Google UIUC

Elman, J.L. (1991). Distributed representation, simple recurrent networks, and grammatical structure. Machine Learning, 7, 195--225.

Google UIUC

Elman, J.L. (1993). Learning and development in neural networks: The importance of starting small. Cognition, 48, 71--99.

Google UIUC

Fanty, M. (1985). Context-free parsing in connectionist networks (Tech. Rep. No. TR-174). Rochester, NY: University of Rochester, Department of Computer Science.

Google

Foss, D.J. & H.S. Cairns (1970). Some effects of memory limitations upon sentence comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 9, 541--547.

Google

Frazier, L. & Fodor, J.D. (1978). The sausage machine: A new two stage parsing model. Cognition, 6, 291-325.

Google

Gale, W. & Church, K. (1990). Poor estimates of context are worse than none. In Proceedings of the June 1990 DARPA Speech and Natural Language Workshop. Hidden Valley, PA.

Google

Gazdar, G. & Pullum, G.K. (1985). Computationally relevant properties of natural languages and their grammars (Tech. Rep. No. CSLI-85-24). Palo Alto, CA: Stanford University, Center for the Study of Language and Information.

Google

Gibson, E. (in press). Linguistic complexity: Locality of syntactic dependencies. Cognition.

Google

Gibson, E. & Thomas, J. (1997). Memory limitations and structural forgetting: The perception of complex ungrammatical sentences as grammatical. Unpublished manuscript, Cambridge, MA: MIT. 36

Google

Gibson, E. & Thomas, J. (1996). The processing complexity of English center-embedded and self-embedded structures. In C. Sch¨utze (Ed.) Proceedings of the NELS 26 sentence processing workshop (pp. 45-71). Cambridge, MA: MIT Occasional Papers in Linguistics 9.

Google

Gibson, E. & Wexler, K. (1994). Triggers. Linguistic Inquiry, 25, 407--454.

Google

Giles, C. & Omlin, C. (1993). Extraction, insertion and refinement of symbolic rules in dynamically driven recurrent neural networks. Connection Science, 5, 307--337.

Google

Giles, C., Miller, C., Chen, D., Chen, H., Sun, G., & Lee, Y. (1992). Learning and extracting finite state automata with second-order recurrent neural networks. Neural Computation, 4, 393--405.

Google

Green, D.M. & Swets, J.A. (1966). Signal detection theory and psychophysics. New York: Wiley.

Google

Hadley, R.F. (1994a). Systematicity in connectionist language learning. Mind and Language, 9, 247--272.

Google

Hanson, S.J. & Kegl, J. (1987). PARSNIP: A connectionist network that learns natural language grammar from exposure to natural language sentences. In Proceedings of the Eight Annual Meeting of the Cognitive Science Society (pp. 106--119). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Jelinek, F., Lafferty, J.D. & Mercer, R.L. (1990). Basic methods of probabilistic context-free grammars (Tech. Rep. RC 16374 (72684)). Yorktown Heights, NY: IBM.

Google

Joshi, A.K. (1990). Processing crossed and nested dependencies: An automaton perspective on the psycholinguistic results. Language and Cognitive Processes, 5, 1--27.

Google

Just, M.A. & Carpenter, P.A. (1992). A capacity theory of comprehension: Individual differences in working memory. Psychological Review, 99, 122-149.

Google

Kimball, J. (1973). Seven principles of surface structure parsing in natural language. Cognition, 2, 15--47.

Google

King, J. & Just, M.A. (1991). Individual differences in syntactic processing: The role of working memory. Journal of Memory and Language, 30, 580--602.

Google

Kolen, J.F. (1994). The origin of clusters in recurrent neural network state space. In Proceedings from the Sixteenth Annual Conference of the Cognitive Science Society (pp. 508--513). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Larkin, W. & Burns, D. (1977). Sentence comprehension and memory for embedded structure. Memory & Cognition, 5, 17--22.

Google

Luce, D. (1959). Individual choice behavior. New York: Wiley.

Google

MacDonald, M.C. & Christiansen, M.H. (1998). Individual differences without working memory: A reply to Just & Carpenter and Waters & Caplan. Manuscript submitted for publication. 37

Google

Marcus, M. (1980). A theory of syntactic recognition for natural language. Cambridge, MA: MIT Press.

Google

Marks, L.E. (1968). Scaling of grammaticalness of self-embedded English sentences. Journal of Verbal Learning and Verbal Behavior, 7, 965--967.

Google

McClelland, J.L. & Kawamoto, A.H. (1986). Mechanisms of sentence processing. In J. L. McClelland & D. E. Rumelhart (Eds.), Parallel distributed processing, Vol. 2 (pp. 272--325). Cambridge, MA.: MIT Press.

Google

Miller, G.A. (1962). Some psychological studies of grammar. American Psychologist, 17, 748--762.

Google

Miller, G.A. & Isard, S. (1964). Free recall of self-embedded English sentences. Information and Control, 7, 292--303.

Google

Miyata, Y., Smolensky, P., & Legendre, G. (1993). Distributed representation and parallel distributed processing of recursive structures. In Proceedings of the Fifteenth Annual Meeting of the Cognitive Science Society (pp. 759--764). Hillsdale, NJ: Lawrence Erlbaum.

Google

Mozer, M.C. & Soukup, T. (1991). Connectionist music composition based on melodic and stylistic constraints. In R.P. Lippmann, J.E. Moody & D.S. Touretzky (Eds.), Advances in Neural Information Processing Systems 3 (pp. 789--796). San Mateo, CA: MorganKaufmann.

Google

Newell, A. and Simon, H.A. (1976). Computer science as empirical inquiry. Communications of the ACM, 19, 113--126.

Google

Niklasson, L. & van Gelder (1994). On being systematically connectionist. Mind and Language, 9, 288--302.

Google

Niyogi, P. & Berwick, R.C. (1996). A language learning model for finite parameter spaces. Cognition, 61, 161--193.

Google UIUC

Norris, D.G. (1990). A dynamic net model of human speech recognition. In G. Altmann (Ed.), Cognitive models of speech processing: Psycholinguistic and cognitive perspectives. Cambridge, Mass.: MIT Press.

Google

Pollack, J.B. (1988). Recursive auto-associative memory: Devising compositional distributed representations. In Proceedings of the Tenth Annual Meeting of the Cognitive Science Society (pp. 33--39). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Pollack, J.B. (1990). Recursive distributed representations. Artificial Intelligence, 46, 77-105.

Google

Pullum, G.K. & Gazdar, G. (1982). Natural languages and context-free languages. Linguistics and Philosophy, 4, 471--504.

Google

Pulman, S.G. (1986). Grammars, parsers, and memory limitations. Language and Cognitive Processes, 2, 197--225. 38

Google

Rambow, O. & Joshi, A.K. (1994). A processing model for free word-order languages. In C. Clifton, L. Frazier & K. Rayner (Eds.), Perspectives on sentence processing (pp. 267--301). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Redington, M., Chater, N. & Finch, S. (in press). Distributional information: A powerful cue for acquiring syntactic categories. Cognitive Science.

Google

Reich, P. (1969). The finiteness of natural language. Language, 45, 831--843.

Google

Rumelhart, D.E., Hinton, G.E. & Williams, R.J. (1986). Learning internal representations by error propagation. In McClelland, J.L. & Rumelhart, D.E. (Eds.) Parallel distributed processing, Vol. 1. (pp. 318--362). Cambridge, MA: MIT Press.

Google

Schutze, C.T. (1996). The empirical base of linguistics: Grammaticality judgments and linguistic methodology. Chicago, IL: The University of Chicago Press.

Google

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.

Google

Shieber, S. (1985). Evidence against the context-freeness of natural language. Linguistics and Philosophy, 8, 333--343.

Google

Shillcock, R., Levy, J. & Chater, N. (1991). A connectionist model of word recognition in continuous speech. In Proceedings from the Thirteenth Annual Conference of the Cognitive Science Society (pp. 340--345). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Small, S.L., Cottrell, G.W. & Shastri, L. (1982). Towards connectionist parsing. In Proceedings of the National Conference on Artificial Intelligence. Pittsburgh, PA.

Google

Smolensky, P. (in press). Grammar-based connectionist approaches to language. Cognitive Science.

Google

Stabler, E.P. (1994). The finite connectivity of linguistic structure. In C. Clifton, L. Frazier & K. Rayner (Eds.), Perspectives on sentence processing (pp. 303--336). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Steijvers, M. & Gr¨unwald, P. (1996). A recurrent network that performs a context-sensitive prediction task. In Proceedings from the Eighteenth Annual Conference of the Cognitive Science Society (pp. 335--339). Mahwah, NJ: Lawrence Erlbaum Associates.

Google

Stolcke, A. (1991). Syntactic category formation with vector space grammars. In Proceedings from the Thirteenth Annual Conference of the Cognitive Science Society (pp. 908--912). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Stolz, W.S. (1967). A study of the ability to decode grammatically novel sentences. Journal of Verbal Learning and Verbal Behavior, 6, 867--873.

Google

Vogel, C., Hahn, U. & Branigan, H. (1996). Cross-serial dependencies are not hard to process. In Proceedings of COLING-96, The 16th International Conference on Computational Linguistics (pp. 157--162), Copenhagen, Denmark. 39

Google

Wanner, E. (1980). The ATN and the sausage machine: Which one is baloney? Cognition, 8, 209--225.

Google

Weckerly, 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). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Wiles, J. & Bloesch, A. (1992). Operators and curried functions: Training and analysis of simple recurrent networks. In J.E. Moody, S.J. Hanson & R.P. Lippmann (Eds.), Advances in Neural Information Processing Systems 4. San Mateo, CA: MorganKaufmann.

Google

Wiles, J. & Elman, J. (1995). Learning to count without a counter: A case study of dynamics and activation landscapes in recurrent networks. In Proceedings of the Seventeenth Annual Meeting of the Cognitive Science Society (pp. 482--487). Hillsdale, NJ: Lawrence Erlbaum Associates.

Google

Wiles, J. & Ollila, M. (1993). Intersecting regions: The key to combinatorial structure in hidden unit space. In S.J. Hanson, J.D. Cowan & C.L. Giles (Eds.), Advances in Neural Information Processing Systems 5, (pp. 27--33)). San Mateo, CA: Morgan-Kaufmann.

Google

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