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Flashcards

Language and meaning studies

Isobel Dawson Advanced topics in language English 33 cards

Cards in this deck (33)

  1. 1Kutas & Hillyard 1980How do we extract meaning from language?
    Role-assignment: N400 for semantic anomalies
  2. 2Haviland & Clark 1974How do we extract meaning from language?
    Making necessary inferences slows reading.
  3. 3Keefe & McDaniel 1993How do we extract meaning from language?/ METHODS
    1. Drawing elaborative inferences (BROKE)
    2. Priming in LDT
  4. 4McKoon & Ratcliff 1986How do we extract meaning from language?
    Drawing elaborative inferences (DEAD)
  5. 5Johnson-Laird 1983How do we extract meaning from language?
    Mental models: e.g. how people would sit next to each other
  6. 6McConkie & Rayner 1975METHODS
    Moving window paradigm
  7. 7Swinney 1979AMBIGUITY
    Evidence for Exhaustive Access Hypothesis (bug as spy or ant)
  8. 8Rayner & Pollatsek 2006AMBIGUITY
    Evidence for exhaustive access hypothesis (biased vs balanced)
  9. 9Van Berkum et al., 1999N400
    Discourse (global context) anomalies illicit an N400 effect
  10. 10Hagoort et al., 2004N400
    Real world knowledge N400 effect
  11. 11Nieuwland & Van Berkum 2006N400
    Peanut in love. Discourse context influences interpretation from the start.
  12. 12Hagoort et al., 1991P600
    Syntactic violations (subject-verb violations)
  13. 13Van Herten et al., 2005P600
    Thematic role reversals (semantic violations)
  14. 14Kuperberg et al., 2007P600
    Animacy and semantic violations
  15. 15Stanford & Sturt 2002Shallow processing
  16. 16Ferreira et al., 2002Shallow processing
    A) Good enough representations
    B) Garden path sentences
  17. 17Frazier and Rayner 1990Shallow processing
    Ambiguous nouns in incomplete semantic commitment
  18. 18Pickering et al., 2006Shallow processing
    Verb underspecification in incomplete semantic commitment
  19. 19Ferreira 2003Shallow processing
    Pragmatic normalisation with active/passive sentences
  20. 20Wason & Reich 1979Shallow processing
    Pragmatic normalisation
  21. 21Erickson & Mattson 1981Semantic Anomalies
    Moses illusion (A. not a lack of encoding, B. not correcting)
  22. 22Reder & Kusbit 1991Semantic anomalies
    NOT lack of encoding of the Moses illusion
  23. 23Barton & Sanford 1993Semantic anomalies
    Survivors be buried (A. not corrected, B. global fit theory)
  24. 24Van Oostendorp & De Mul 1990Semantic anomalies
    Varying the semantic similarity alters detection (Moses/Adam/Nixon)
  25. 25Kamas et al., 1996Semantic anomalies
    Priming concepts that define differences between Noah and Moses decreased detection
  26. 26Bohan & Sanford 2008Semantic anomalies
    ET & time course, not immediate detection
  27. 27Sanford et al., 2011Semantic anomalies
    Auditory time course & P600 vs N400
  28. 28Bohan et al., 2012Semantic anomalies
    Text-based time course, N400 vs P600 and P2
  29. 29Bredart & Modolo 1988Semantic anomalies
    It-cleft and focus on depth of processing
  30. 30Baker & Wagner 1987Semantic anomalies
    Logical subordination on depth of processing
  31. 31Sturt et al., 2004Semantic anomalies
    A. Discourse focus on depth of processing
    B. text-change detection
  32. 32Warren & Gibson 2002Semantic anomalies
    Noun phrases and load on depth of processing
  33. 33Sanford et al., 2005Semantic anomalies
    Higher loads= lower detection, no effect in closeness for text-change detection

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Advanced topics in language (Language and meaning) Flashcards on Language and meaning studies, created by Isobel Dawson on 03/12/2019.
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Isobel Dawson
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