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  • Andrews, M., Vigliocco, G., & Vinson, D. (2009). Integrating attributional and distributional information to learn semantic representations. Psychological Review, 116, 463498.
  • Balota, D. A. (1990). The role of meaning in word recognition. In G. B.d’Arcais, D. A.Balota, & K.Rayner (Eds.), Comprehension processes in reading (pp. 932). Hillsdale, NJ: Erlbaum.
  • Barclay, J. R., Bransford, J. D., Franks, J. J., McCarrell, N. S., & Nitsch, K. (1974). Comprehension and semantic flexibility. Journal of Verbal Learning and Verbal Behavior, 13, 471481.
  • Barsalou, L. W. (1987). Are there static category representations in long-term memory? Behavioral and Brain Sciences, 9, 651652.
  • Bates, E., & Goodman, J. C. (2001). On the inseparability of grammar and the lexicon: Evidence from acquisition. In M.Tomasello & E.Bates (Eds.), Language development (pp. 134162). Oxford, England: Blackwell.
  • Brainerd, C. J., Wright, R., & Reyna, V. F. (2002). Dual-retrieval processes in free and associative recall. Journal of Memory and Language, 46, 120152.
  • Bresnan, J., & Kaplan, R. (1982). Lexical functional grammar: A formal system for grammatical representation. In J.Bresnan (Ed.), The mental representation of grammatical relations (pp. 1752). Cambridge, MA: MIT Press.
  • Burgess, C., & Lund, K. (2000). The dynamics of meaning in memory. In E.Dietrich & A. B.Markman (Eds.), Cognitive dynamics: Conceptual change in humans and machines (pp. 117156). Mahwah, NJ: Erlbaum.
  • Dennis, S. (2005). A memory-based account of verbal cognition. Cognitive Science, 29, 145193.
  • Dennis, S., & Kintsch, W. (2008). Text mapping and inference rule generation problems in text comprehension: Evaluating a memory-based account. In F.Schmalhofer & C.Perfetti (Eds.), Higher level language processes in the brain: Inference and comprehension processes (pp. 105132). Mahwah, NJ: Erlbaum.
  • Edelman, S. (2008). Computing the mind. Oxford, England: Oxford University Press.
  • Elman, J. L. (2009). On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon. Cognitive Science, 33, 547582.
  • Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211245.
  • Ferreira, F., & Patson, N. D. (2007). The ‘good-enough’ approach to language comprehension. Language and Linguistics Compass, 1, 7183.
  • Firth, J. R. (1957). Studies in linguistic analysis. Oxford, England: Basil Blackwell.
  • Garrod, S., Freudenthal, D., & Boyle, E. (1994). The role of different type of anaphor in the on-line resolution of sentences in a discourse. Journal of Memory and Language, 33, 3868.
  • Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103, 650669.
  • Goldberg, A. E. (2006). Constructions at work: The nature of generalizations in language. Oxford, England: Oxford University Press.
  • Goldstone, R. L., Feng, Y., & Rogosky, B. (2005). Connecting concepts to the world and each other. In D.Pecher & R. A.Zwaan (Eds.), Grounding cognition: The role of perception in action, memory, and thinking (pp. 219314). Cambridge, England: Cambridge University Press.
  • Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101, 52285235.
  • Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114, 211244.
  • Hamberger, M. J., Friedman, D., & Rosen, J. (1996). Completion norms collected from younger and older adults for 198 sentence contexts. Behavior Research Methods, Instruments & Computers, 28(1), 102108.
  • Hintzman, D. L. (1984). MINERVA2: A simulation model of human memory. Behavior Research Methods, Instruments, and Computers, 16, 96101.
  • Jones, M. N., Kintsch, W., & Mewhort, D. J. K. (2006). High-dimensional semantic space accounts of priming. Journal of Memory and Language, 55, 534552.
  • Jones, M. N., & Mewhort, D. (2007). Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114, 137.
  • Joshi, A. K. (2004). Starting with complex primitives pays off: Complicate locally, simplify globally. Cognitive Science, 28, 647668.
  • Kintsch, W. (1974). The representation of meaning in memory. Hillsdale, NJ: Erlbaum.
  • Kintsch, W. (1998). Comprehension: A paradigm for cognition. New York: Cambridge University Press.
  • Kintsch, W. (2001). Predication. Cognitive Science, 25, 173202.
  • Kintsch, W. (2007). Meaning in context. In T. K.Landauer, D.McNamara, S.Dennis, & W.Kintsch (Eds.), Latent semantic analysis (pp. 89105). Mahwah, NJ: Erlbaum.
  • Kintsch, W. (2008a). Symbol systems and perceptual representations. In M.De Vega, A.Glenberg, & A.Graesser (Eds.), Symbolic and embodied meaning (pp. 145164). New York: Oxford University Press.
  • Kintsch, W. (2008b). How the mind computes the meaning of metaphor: A simulation based on LSA. In R.Gibbs (Ed.), Handbook of metaphor and thought (pp. 129142). New York: Cambridge University Press.
  • Kintsch, E., Caccamise, D., Franzke, M., Johnson, N., & Dooley, S. (2007). Summary Street: Computer-guided summary writing. In T. K.Landauer, D.McNamara, S.Dennis, & W.Kintsch (Eds.), Handbook of latent semantic analysis (pp. 263278). Mahwh, NJ: Erlbaum.
  • Klein, D. E., & Murphy, G. L. (2001). The representation of polysemous words. Journal of Memory and Language, 45, 259282.
  • Kwantes, P. J. (2005). Using context to build semantics. Psychonomic Bulletin & Review, 12, 703710.
  • 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, 211240.
  • Landauer, T. K., Laham, D., & Foltz, P. W. (2003). Automated scoring and annotation of essays with the Intelligent Essay Assessor. Assessment in Education, 10, 295308.
  • Landauer, T. K., McNamara, D., Dennis, S., & Kintsch, W. (Eds.) (2007). Latent semantic analysis. Mahwah, NJ: Erlbaum.
  • MacDonald, J. L., & MacWhinney, B. (1995). Time course of anaphor resolution: Effects of implicit verb causality and gender. Journal of Memory and Language, 34, 543566.
  • MacDonald, M. C., Pearlmutter, N. J., & Seidenberg, M. S. (1994). Lexical nature of syntactic ambiguity resolution. Psychological Review, 101, 676703.
  • Martin, D. I., & Berry, M. W. (2007). Mathematical foundations behind Latent Semantic Analysis. In T. K.Landauer, D. S.McNamara, S.Dennis, & W.Kintsch (Eds.), Handbook of latent semantic analysis (pp. 3556). Mahwah, NJ: Erlbaum.
  • Mel’cuk, I. (1988). Dependency syntax: Theory and practice. New York: State University of New York Press.
  • Murdock, B. B. Jr (1982). A theory for the storage and retrieval of items and associative information. Psychological Review, 89, 609626.
  • Nelson, D. L., McEvoy, C. L., & Schreiber, T. A. (1998) The University of South Florida word association, rhyme, and word fragment norms. Available at: http://www.usf.edu/FreeAssociation/. Accessed on July 20, 2010.
  • Nivre, J., Hall, J., Chanev, J., Eryigit, A., Kuebler, G., Marinov, S., & Marsi, E. (2007). MaltParser: A language-independent system for data-driven dependency parsing. Natural Language Engineering, 13, 141.
  • Quesada, J. (2007). Creating your own LSA spaces. In T. K.Landauer, D. S.McNamara, S.Dennis, & W.Kintsch (Eds.), Handbook of latent semantic analysis (pp. 7188). Mahwah, NJ: Erlbaum.
  • Rumelhart, D. E. (1979). Some problems with the notion that words have literal meanings. In A.Ortony (Ed.), Metaphor and thought (pp. 7182). Cambridge, England: Cambridge University Press.
  • Saussure, F. (1959). Course in general linguistics. (W. Baskin, Trans.)New York: McGraw-Hill.
  • Sgall, P., Hajicova, E., & Panevova, J. (1986). The meaning of the sentence in its pragmatic aspects. Amsterdam: Reidel.
  • Simon, H. A. (1969). The sciences of the artificial. Cambridge, MA: MIT Press.
  • Solan, Z., Horn, D., Ruppin, E., & Edelman, S. (2005). Unsupervised learning of natural languages. Proceedings of the National Academy of Sciences, 102, 1162911634.
  • Steedman, M. (1996). Surface structure and interpretation. Cambridge, MA: MIT Press.
  • Steyvers, M., & Griffiths, T. (2007). Probabilistic topic models. In T. K.Landauer, D.McNamara, S.Dennis, & W.Kintsch (Eds.), Latent semantic analysis (pp. 427448). Mahwah, NJ: Erlbaum.
  • Steyvers, M., & Griffiths, T. L. (2008). Rational analysis as a link between human memory and information retrieval. In N.Chater & M.Oaksford (Eds.), The probabilistic mind: Prospects for a Bayesian cognitive science (pp. 329350). Oxford, England: Oxford University Press.
  • Teh, Y. W. (2006). A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of the 21st International Congress on Computational Linguistics and the 64th Annual Meeting of the Association for Computational Linguistics.
  • Tesniere, L. (1959). Elements de syntax structurale. Paris: Editions Klincksieck.
  • Tomasello, M. (2001). The item-based nature of children’s early syntactic development. In M.Tomasello & E.Bates (Eds.), Language development (pp. 163186). Oxford, England: Blackwell.
  • Tomasello, M. (2003). Constructing a language: A usage-based theory of language acquisition. Cambridge, MS: Harvard University Press.
  • Wittgenstein, L. J. J. (1953). Philosophical investigations. Oxford, England: Basil Blackwell.
  • Yamada, H., & Matsumoto, Y. (2003). Statistical dependency analysis with support vector machines. Paper presented at the 8th International Workshop on Parsing Technologies.