Titlebook: Understanding Complex Sentences; Native Speaker Varia Ngoni Chipere Book 2003 Palgrave Macmillan, a division of Macmillan Publishers Limite

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Finite State and Generative Models,he rule-based approach (for example, Chomsky, 1957, 1965; Fodor and Pylyshyn, 1988). The experience-based approach describes knowledge of language as a network of associations between linguistic units. This network is derived from experience through associative learning and is stored in long-term me

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Early Experimental Studies,els. Many of these experiments were carried out in the 1950s and 1960s. Subsequent research has focused largely on mechanisms of sentence processing, rather than on the knowledge underlying such mechanisms (see Mitchell, 1994). The experiments reviewed here therefore represent the most sustained att

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Long-Term Working Memory,tence comprehension involve long-term memory (LTM) traces of previously encountered sentences? This question is important because the experience-based approach treats sentence comprehension in terms of matching inputs with patterns stored in LTM. The rule-based approach, on the other hand, treats sy

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Patterns of Individual Differences,istic units. These differences lead to individual variations in linguistic representation. This argument is based on an application of Saussure’s theory to data on individual differences reported in the experimental literature. The theory describes the construction of the language system in terms of

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Effects of Recall Training and Comprehension Training,ence supports the idea that native speakers differ in the manner in which they represent sentences. If that is the case, then it may be argued that native speaker variations in understanding complex sentences are due to individual differences in syntactic representation rather than inherent individu

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