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The nature of working memory capacity in sentence comprehension: Evidence against domain-specific working memory resources

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Title: The nature of working memory capacity in sentence comprehension: Evidence against domain-specific working memory resources


1
The nature of working memory capacity in sentence
comprehension Evidence against domain-specific
working memory resources
  • Federenko, Gibson, Rohde
  • Journal of Memory and Language, 2006

Kacey Wochna Psycholinguistics November 3rd, 2010
2
Background
  • What is the nature and functional organization of
    working memory?
  • Domain-general or domain-specific?
  • Is verbal working memory general or specific?
  • All verbally mediated tasks use the same pool of
    VWM resources (King Just, 1991 Just
    Carpenter, 1992)
  • Linguistic and non-linguistic verbal tasks use
    different VWM pools (Caplan Waters, 1999)

3
Background
  • Dual-Task Approach On-line sentence processing
    and a non-linguistic verbal task are performed
    simultaneously
  • If VWM is domain-specific...
  • Memory load in a non-linguistic verbal task
    should not interact with syntactic processing (as
    in Caplan Waters, 1999)
  • If VWM is domain-general...
  • The two tasks should interact
  • Interaction found using the individual
    differences approach (Just and colleagues)
  • Caplan and Waters found off-line interactions,
    but argued that off-line processing goes beyond
    linguistic processing

4
Current Study
  • Based on Gordon, Hendrick, and Levine (2002)
  • In previous research, memory load was defined as
    the number of items kept active in memory
  • Proposed that load should be measured by the
    amount of interference produced by the items kept
    active in memory
  • Similarity-based interference probably affects
    retrieval
  • Low syntactic complexity (subject-extracted
    cleft)
  • It was the dancer that liked the fireman before
    the argument began.
  • High syntactic complexity (object-extracted
    cleft)
  • It was the dancer that the fireman liked before
    the argument began.
  • Match (high similarity) poet cartoonist
    voter
  • Non-match (low similarity) Jim Greg Andy

5
Current Study
  • Difference in rate of comprehension errors
    between low and high complexity was larger when
    memory load was matched
  • BUT on-line reading times only showed a trend
    towards this interaction
  • Federenko et al.
  • Moving-window instead of center-screen
    presentation
  • Amount of interference is possibly a function of
    both the similarity of the items and the number
    of items

6
Method
  • 32 experimental items, self-paced moving-window
    presentation
  • Low syntactic complexity (subject-extracted
    relative clause)
  • The physician who consulted the cardiologist
    checked the files in the office.
  • High syntactic complexity (object-extracted
    relative clause)
  • The physician who the cardiologist consulted
    checked the files in the office.
  • Match (high similarity) poet cartoonist
    voter
  • Non-match (low similarity) Joel Greg Andy
  • Easy load (one noun) Hard load (three nouns)
  • Procedure
  • memory nouns -gt sentence -gt recall -gt 2
    comprehension questions

7
Results
  • Comprehension questions
  • Better accuracy in the easy load condition than
    the hard load condition
  • Marginal three-way interaction of load,
    similarity, and complexity trend for load to
    affect high complexity sentences more was more
    pronounced in the match condition
  • Didnt replicate Gordon et al.s finding,
    probably due to procedural differences

8
Results
  • Reading times
  • Three-way interaction
  • in critical region
  • Easy load
  • Longer reading times
  • for high complexity
  • No effect of match
  • Hard load
  • Match only caused
  • longer reading times for
  • high complexity

9
Results
  • When the number of items that had to be kept in
    memory was greater, people processed
    syntactically complex sentences more slowly when
    the items to be kept in memory were more similar
    to the nouns in the sentences.
  • Non-linguistic verbal memory loads interact with
    syntactic processing
  • Both the similarity of items and the number of
    items contribute to interference
  • Support for domain-general VWM system
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