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Topic 11.2 and Topic - Recap Language Multilevelstructure Phrasestructure,production,comprehension,speech errors Languageandthought Brain&Language

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04/02/12 Topic 11 Language Structure 1 Recap: Language Multi-level structure Properties of language Phrase structure, production, comprehension, speech  errors Language and thought Brain & Language
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What individual differences in children influence language acquisition? Working memory span Phonological loop Attention, attention to faces Hearing acuity Speed of processing: memory retrieval Motor development 04/02/12 Topic 11 Language Structure 2
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04/02/12 Topic 11 Language Structure 3 Language acquisition and the brain Vocabulary acquisition seems to drive lateralization Typical organization is not universal Early damage to left hemisphere Variations in mapping Suggestive data that regular and irregular forms of past tense rely on different mechanisms
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04/02/12 Topic 11 Language Structure 4 Processing of regular and irregular past tense may be disassociated in aphasia Broca’s area lesions: regular past tense impaired Temporal lobe damage: irregular past tense impaired Normal adults: Jaeger, et al (1996) activation of Broca’s area  in processing of regular past tense; activation in temporal  lobe in processing of irregular forms
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04/02/12 Topic 11 Language Structure 5 The past tense debate: U-shaped learning Children’s errors follow a consistent pattern Few past tense forms, high frequency verbs, mostly  irregular eat, sing, go and are inflected with correct  form: ate, sang, went THEN over regularized: eated, singed, goed, THEN inflected correctly
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04/02/12 Topic 11 Language Structure 6 Traditional account is children implicitly learn, and apply the rules results from competition between regular and  irregular verbs for shared processing resources Initial error-free performance results from small  vocabulary
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04/02/12 Topic 11 Language Structure 7 Rumelhart & McClelland (1986) proposed a connectionist model of learning of tense (and other language paradigms) Consists of a number of processing units linked by  weighted connections Information processing consists of flow of activation  between units through these connections Each unit sums incoming activation, transforms it,  propagates it through other connections
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04/02/12 Topic 11 Language Structure 8 Neural networks learn by adjusting strengths of connection weights S ing Ring Bing Sang Rang Bang
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04/02/12 Topic 11 Language Structure 9 The debate centers on the nature of language Is it rule based? With a separate computational  system? Is it purely associationist, connectionist, explainable 
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This note was uploaded on 04/01/2012 for the course PSYCHOLOGY Cognition taught by Professor Ingate during the Spring '10 term at Rutgers.

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Topic 11.2 and Topic - Recap Language Multilevelstructure Phrasestructure,production,comprehension,speech errors Languageandthought Brain&Language

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