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On November 4 I wrote > I am looking for references to past or on-going research on evidence > for syntactic generativity, or lack of it, among native speakers of > any language, though I have a particular interest in English. I am > also interested in correlations between education and linguistic > capacity. Thanks to: John Grinstead Catherine Ball Georgia Green Sherri Condon for comments and suggestions, and Ewa Dabrowska for references. Rather than annotate the bibliography, which is long, I've summarised the main points of my literature review (1 page). Hopefully this summary can serve as a guide to the bibliography for those interested in the topic. Summary Adult native users of a language are assumed to have the competence to understand and produce sentences of infinite syntactic complexity. This competence takes the form of an innate generative system of phrase structure rules which is uniform for all mature language users (see Chomsky, 1965). However, it has been observed in numerous experiments that there are certain types of sentence which native users of a language either cannot comprehend or have extreme difficulty in doing so. It has also been observed that native users of a language differ in their ability to decode syntax. The classical account for both observations is that syntax is computed by a finite working memory: if the syntactic complexity of a sentence exceeds working memory capacity, the sentence cannot be assigned a structural description and therefore cannot be comprehended. The fact that native users of a language cannot understand certain constructions can therefore be explained in terms of limitations in working memory. By the same token, individual differences in syntactic ability can be explained in terms of individual differences in working memory capacity. This competence versus performance view of language comprehension depends on two main assumptions: a) that comprehending a sentence involves generating a syntactic description of it in working memory by using phrase structure rules and b) that working memory has a small and fixed capacity. However, subsequent developments in linguistic theory and psychology undermine these assumptions and the theory which depends on them. Linguistic theories appear to have largely abandoned phrase structure rules (eg Word Grammar, HPSG and GB, other linguistic traditions, such as the fithian school, have always made use of multiword sequences). In much of current linguistic theory, the syntactic structures previously generated by phrase structure rules are now simply listed in the lexicon as part of the structure of individual lexical items. Lexical structure includes both the argument structure of a verb as well as its semantic interpretation in the form of thematic structure. By implication, comprehending a sentence does not require syntactic structures to be generated in working memory. Instead, what is required is to access lexical structures from the lexicon (Chomsky, 1986). In psycholinguistic terms, this translates to describing comprehension as a process of retrieving lexical information from long term memory. In a separate development, it is now being argued in psychology that the capacity of working memory is not fixed, but rather depends partly on the efficiency with which information can be read from and written to long term memory. Efficient access to long term memory requires that there be `retrieval structures' which allow information to be stored and retrieved rapidly and accurately (see Kintsch and Ericsson, 1995). Individual differences in working memory capacity, such as the ability to recall the positions of chess pieces on a chess board, are related to the existence of such retrieval structures in long term memory. Chess experts have more developed retrieval structures and strategies than chess novices and therefore possess larger working memory capacities for chess. If a parallel can be drawn between `retrieval structures' in, for instance, chess and lexical structures in language (putting text structures aside for the moment), then there is a logical possibility that limitations in working memory for language are, to a certain extent, limitations in an individual's lexicon (i.e. linguistic knowledge in long term memory). This much is indicated by a number of experimental studies in which it is argued that native speakers of a language differ in their ability to perceive and use linguistic structure during comprehension. Differences in linguistic knowledge (if linguistic knowledge = lexical structure and lexical structure = retrieval structure) might therefore manifest as differences in linguistic working memory capacity. In sum, there is good evidence that linguistic knowledge is neither generative (in the classical sense) nor uniformly possessed by its speakers. Rather, many of the studies cited below characterise language ability as an acquired skill which displays many of the attributes common to other skills. The literature is organised into sections which correspond roughly to the sequence of ideas in the summary. Bibliography 1. The Competence vs. Performance Distinction Chomsky, N (1965). Aspects of the Theory of Syntax. MIT Press. 2. Replacing Phrase Structure Rules with Lexical Structures/ Multi- Word Units Andrews, A. (1988). Lexical Structure. In F. Newmeyer (ed.) Linguistics: The Cambridge Survey. I Linguistic Theory: Foundations. Cambridge. Chomsky, N. (1986). Knowledge of Language: Its Nature, Origin and Use. Praeger, New York. Fillmore, C.J. (1979). On Fluency. In Fillmore, C.J., Kempler, D. and W. Wang (eds.) Individual Differences in Language Ability and Language Behaviour. New York: Academic Press. Pawley, A. and F. H. Syder (1983). Two puzzles for linguistic theory: nativelike selection and nativelike fluency. In Jack C. Richards and R.W. Schmidt (eds.) Language and Communication. London and New York: Longman, pp. 191-226 3. The Role of Long Term Memory in Working Memory Ericsson, A. and W. Kintsch (1995). Long-Term Working Memory. Psychological Review, 102, 211-245. (This is the source of many of the references below on memory) 4. Examples of Exceptional Working Memory Capacity in Skilled Activities Charness, N. (1976). Memory for chess positions: Resistance to interference. Journal of Experimental Psychology: Human Learning and Memory, 2, 641-653. Charness, N. (1979). Components of skill in bridge. Canadian Journal of Psychology, 33, 1-6. Charness, N. (1981a). Aging and skilled problem solving. Journal of Experimental Psychology: General, 110, 21-38. Charness, N. (1981b). Search in chess: Age and skill differences. Journal of Experimental Psychology: Human Perception and Performance, 7, 467-476. Charness, N. (1989). Expertise in chess and bridge. In D. Klahr & K. Kotovsky (Eds.), Complex information processing: The impact of Herbert A. Simon (pp. 183-208). Hillsdale, NJ: Erlbaum. Charness, N. (1991). Expertise in chess: The balance between knowledge and search. In K. A. Ericsson & J. Smith (Eds.), Toward a general theory of expertise: Prospects and limits (pp. 39-63). New York: Cambridge University Press. Chase, W. G., & Simon, H. A. (1973). The mind's eye in chess. In W. G. Chase (Ed.), Visual information processing. New York: Academic Press. Chi, M. T. H. (1976). Short-term memory limitations in children: Capacity or processing deficits? Memory & Cognition, 4, 559-572. Chiesi, H.L. Spilich, G. and J.F. Voss (1979). Application of Domain-Related Information in Relation to High and Low Domain Knowledge. Journal of Verbal Learning and Verbal Behaviour. 18, 257-273. Cooke, N. J., Atlas, R. 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Kauffman, W.H. and C.J.Carlsen (1989). Memory for intact musical works: The importance of music expertise and retention interval. Psychomusicology, 8, 1, 3-20. Kliegl, R., Smith, J., Heckhausen, J. and and P.B. Baltes (1987). Mnemonic training of skilled didit memory. Cognition and Instruction, 4, 4, 203-223. Koltanowski, G. (1985). In the dark.Coraopolis, PA: Chess Enterprises. Korkel, J. and W. Schneider. (1991). Domain-specific versus metacognitive knowledge effects on text recall and comprehension. In Carretero, M., Pope, M.L., Simons, R.J., and J.I. Pozzo (eds.) Learning and Instruction: European research in an interactional context, 3, 311-323. McKeithen, K. B., Reitman, J. S., Rueter, H. H., & Hirtle, S. C. (1981). Knowledge organization and skill differences in computer programmers. Cognitive Psychology, 13, 307-325. Morrow, D., Leirer, V., Alteiri, P. and C. Fitzsimmons (1994). When expertise reduces age differences in performance. Psychology and Aging, 9, 1, 134-148. Reitman, J. (1976). Skilled perception in go: Deducing memory structures from inter-response times. Cognitive Psychology, 8, 336-356. Saarilouma, P. (1989). Chess players' recall of auditorily presented chess positions. European Journal of Cognitive Psychology, 1, 309-320. Saarilouma, P. (1991a). Visuo-spatial interference and apperception in chess. In R. H. Logie & M. Denis (Eds.), Mental images in human cognition (pp. 83-94). Amsterdam: Elsevier Science Publishers. Saarilouma, P. (1991b). Aspects of skilled imagery in blindfold chess. Acta Psychologica, 77, 65-89. Schneider, W., Gruber, H., Gold, A. and and K. Opwis (1993). Chess expertise and memory for chess positions in children and adults. Journal of Experimental Child Psychology, 56, 3, 328-249. Sloboda, J. (1976). Visual perception of musical notation: Registering pitch symbols in memory. Quarterly Journal of Experimental Psychology, 28, 1-16. Staszewski, J. J. (1988a). 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Journal of Experimental Psychology General, 122, 3, 316-330 Masson, M. E. J., & Miller, J. A. (1983). Working memory and individual differences in comprehension and memory of text. Journal of Educational Psychology, 75, 314-318 Recht, D. R., Leslie, L. (1988). Effect of prior knowledge on good and poor readers' memory of text. Journal of Educational Psychology, 80, 16-20 Schneider, W. (Wolfgang), Krkel, J., & Wienert, F. E. (1989). Domain-specific knowledge and memory performance: A comparison of high- and low-aptitude children. Journal of Educational Psychology, 81, 306-312. Spillich, G. J., Vesonder, G. T., Chiesi, H. L., & Voss, J. F. (1979). Text processing of domain related information for individuals with high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 18, 275-290. Tardieu, H., Erhlich, M. and V. Gyselink (1992). Levels of representation and domain specific knowledge in comprehension of scientific texts. 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