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A rose by Any Other Name: Long-Term Memory Structure and Sentence Processing. Kara D. Federmeier

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Title: A rose by Any Other Name: Long-Term Memory Structure and Sentence Processing. Kara D. Federmeier


1
A rose by Any Other Name Long-Term Memory
Structure and Sentence Processing. Kara D.
Federmeier Marta Kutas
  • presented by Nataliya Chabanyuk
  • LIN7912, Instructor Nina Kazanina
  • University of Ottawa

2
  • Getting both himself and his car to work on the
    neighboring island was time-consuming. Every
    morning he drove for a few minutes and then
    boarded the
  • ferry
  • gondola
  • plane

3
Hypothesis and aims of the study
  • The N400 component is sensitive to semantic and
    category membership manipulations.
  • The N400 is used to examine to which extend the
    structure of long term memory interacts with
    contextual information during on-line sentence
    processing.
  • How the readers processing is affected by memory
    structure even when that structure is irrelevant
    to the language comprehension task.
  • What is the role of memory structure in reading
    by comparing its influence when sentence contexts
    are strong versus when they are weaker.

4
Background
  • Psycholinguistic research Effect of context
  • Words that are predictable in a sentence context
    are perceived and processed more rapidly and
    accurately than the same words when they occur
    out of context or in incongruent contexts.
  • Ehrlich Rayner, 1981 Morris, 1994 Zola, 1984
    Duffy, Henderson Morris, 1989 Hess, Foss
    Caroll, 1995 McClelland ORegan 1981
    Stanovich West, 1983 Fischler Bloom, 1985
    Kleiman, 1980 Schuberth, Spoehr Lane, 1981
    Duffy et al., 1989 Morris , 1994 Ratcliff, 1987
  • Electrophysiological
  • support psycholinguistic findings.
  • Contextual information is used early and builds
    continuously over the course of processing a
    sentence.
  • Kutas Dale, 1997 Rugg Coles, 1995 Kutas
    Hillyard, 1984 Van Petten Kutas, 1990
    Schwantes, 1985 Styanokvich West, 1983
    Fischler Bloom, 1979 Kleiman, 1980
    Schwanenflugel LaCounbt, 1988

5
Psycholinguistic research Effect of context
  • Contextual information decreases the duration of
    readers eye fixation.
  • Congruent contexts facilitate the time to
    pronounce sentence/phrase final words.
  • Congruent contexts facilitate the speed of
    lexical decision.

6
Electrophysiologicalsupport psycholinguistic
findings.
  • N400 first observed in 1980 by Kutas Hillyard
    in the task of reading for comprehension
    (semantically anomalous sentence final words)
  • Contextual information facilitates processing of
    highly predictable words (cloze probability)
  • and of unexpected but contextually congruous
    words ( semantically related)

7
EEG with epileptic subjects
  • Anomalous sentence endings were associated with
    large potentials in the left and right anterior
    medial temporal lobes. Those potentials are most
    probably generated in anterior fusiform,
    parahippocampal gyri and the hippocampus proper.

parahippocampal gyri
hippocampus
8
Language areas
9
Long-Term Memory and N400Language comprehension
crucially relies on information stored in
long-term memory, thus, the structure of
long-term memory affects word processing during
reading.
  • Sensitive to
  • Semantic, syntactic, contextual manipulations
  • Word and picture recognition memory
  • Category membership
  • Insensitive to
  • No semantic manipulations of context
  • Grammatical or morphological violations
  • Deviations in non-linguistic stimuli

10
Categorization researches


  • Long term memory is structured on the basis of
    perceptual and functional similarities captured
    by semantic categories (taxonomic hierarchy).




a plant


a tree
a flower
a palm
a tulip
a pine
a rose
11
Experimental studyEffects of contextual
violations
  • Within category violation.
  • The item comes from the same semantic category
    as the contextually predicted item and thus share
    many features in common with it.
  • Between-category violation.
  • The item comes from the different semantic
    category and thus shares far fewer features in
    common with the predicted item.

12
Within category violation
  • She felt that she couldnt leave Venice without
    the experience. It might be a touristy thing to
    do, but she wanted to ride in a
  • ferry
  • Expected
  • gondola
  • Between-category violation
  • helicopter

13
Between category violation
  • The patient was in critical condition and the
    ambulance wouldnt be fast enough. They decided
    they would have to use the
  • ferry
  • Expected
  • helicopter
  • Within-category violation
  • plane

14
Your guess
  • Amy was very anxious about traveling abroad for
    the first time. She felt surprisingly better,
    however, when she actually boarded the
  • plane
  • ferry, helicopter, gondola, boat
  • helicopter
  • ferry, gondola, boat
  • gondola

15
ERP expectations
  • In the same time window,
  • best completion will elicit P300-P500
  • between category violations N400
  • What about within-category violation?

16
How the level of processing indexed by the N400
could be interpreted.
  • 1. The system is sensitive to a general feature
    match between an item and a sentence context
  • Similar amplitude to expected items and
    within-category violations.
  • 2. The system is sensitive to specific contextual
    information
  • Similar amplitude of N400 to both within and
    between-category violations.

17
How the level of processing indexed by the N400
could be interpreted.
  • 3. The system is structured by feature similarity
    as reflected in in semantic categories
  • N400 will elicit smaller amplitude to
    within-category violations related to
    between-category violations.
  • 4. System is sensitive both to specific
    contextual information and to the relationship
    between concepts in long term memory
  • N400 will be of the intermediate amplitude.

18
Study Design and Technique
  • Materials
  • 132 pairs of sentences with three target words (3
    lists of 44 sentences)
  • The expected exemplar, the highest cloze
    probability
  • The within-category violation, an unexpected
    (cloze probabilitylt0.05) exemplar from the same
    taxonomic category as the expected exemplar
  • The between category violation, an unexpected
    (cloze probabilitylt0.05)exemplar from a different
    category than the expected exemplar.
  • There were no lexical associates of any of the
    possible endings within the sentence containing
    the target word.

19
Study Design and Technique
  • Material.
  • Target items were rotated across the stimulus set
    such that each item appeared three times, once as
    each kind of ending.
  • Target conditions were controlled for length,
    frequency and concreteness context sentences
    were controlled for length and grammatical
    complexity.

20
Study Design and Technique
  • Cloze procedure cloze probability (CP) for a
    given word in a given context was calculated as
    the proportion of individuals choosing to
    complete that particular context with that
    particular word.
  • Mean CP for the expected exemplars 0.74
  • Mean CP for within category violations 0.004
  • Mean CP for between category violations 0.001

21
Study Design and Technique
  • Constraint.
  • High constraint (one single preferable ending
    sentences with CP from 0.784 to 1.0
  • Low constraint sentences (several compatible
    cloze endings) with CP from 0.17 to 0.784

22
Study Design and Technique
  • Plausibility ratings.
  • Does the ending make sense?
  • Mean PR for expected exemplars95.6
  • Mean PR for within-cat. violations28.3
  • Mean PR for between-cat. violations15.3
  • ANOVA confirmed the significant plausibility of
    Ending Type.

23
Study Design and Technique
  • Participants.
  • 10 men 8 women, 18 to 24 years of age,
    right-handed, monolingual English speakers

24
Study Design and Technique
  • Experimental Procedure
  • At the zoo, my sister asked if they painted the
    black and white strips on the animal.

25
xxxxxxxxxxxxx
26
I
27
explained
28
to
29
her
30
that
31
they
32
were
33
natural
34
features
35
of
36
a
37
zebra.
38
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39
Study Design and Technique
  • Experimental procedure.
  • Sentence final words were presented for a
    duration of 500 ms
  • I explained to her that they were natural
    features of a
  • donkey.
  • (200 ms)
  • I explained to her that the were natural features
    of a
  • poodle.
  • (200 ms)

40
Study Design and Technique
  • Experimental Procedure.
  • Recognition memory test, consisting of 50 sets of
    sentence pairs 10 new ones, 20 unchanged
    experimental pairs, 20 modified sentence pairs-to
    be classified as new, old or similar.

41
Study Design and Technique
  • EEG Recording Parameters.
  • The electroencephalogram was recorded from 26 tin
    electrodes embedded in an Electro-cap, referenced
    to the left mastoid.
  • Data Analysis.
  • Trials contaminated by eye movements, excessive
    muscle activity, or amplifier blocking were
    rejected off-line before averaging.

42
Schematic of the electrode array used in the
experiment. In all, 26 scalp electrodes were
employed, arranged in a series of four equally
spaced concentric rings.
43
Results
  • Behavior.
  • Correctly classified 88 of the items on the
    recognition memory test.
  • The most common mistake old classified as
    similar and similar as old.
  • Conclusion
  • The experimental sentences were attended during
    the recording session.

44
Results
  • ERPs
  • Early components in all conditions
  • at posterior sites P1, N1, P2
  • at frontal sites N1, P2

45
Results
  • ERPs
  • In the expected exemplar condition
  • broad late positivity largest over central and
    posterior sites
  • In two violation conditions
  • Negative peaking around 400 ms (N400) largest
    over central and pariental sites.
  • The N400 is followed by an extended late
    positivity of similar amplitude to that observed
    for the expected exemplars.

46
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47
Results. Effect of ending type.
  • Effect of ending type, shown at the right medial
    central site. A three-way split can be observed
    in the amplitude of the N400 response. N400
    amplitude was significantly larger for
    between-category violations and significantly
    larger for within-category violations than for
    expected exemplars.

48
Results. Distribution of the N400. Difference
waves showing N400 effect to within-category
violations and between-category violations. The
waveforms at the 16 electrode sites illustrate
the distribution of the N400 effect. For both
conditions, the N400 effect was larger over
medial posterior sites and slightly larger on the
right than on the left.
49
Results. Constraint effect.
  • Effect of constraint on the N400 response, shown
    at the right medial central site. Constraint did
    not affect the response to expected exemplars or
    between-category violations. Within-category
    violations in high constraint sentences elicited
    smaller amplitude N400s than within-category
    violations in low constraint sentences.

50
Summary of main results.
  • Expected exemplars elicit a late positivity in
    the 350-to 400-ms time window.
  • Both within-category violations and
    between-category violations elicit a qualitively
    similar N400 response with a medial,
    posterior-central, right hemisphere distribution.
  • The amplitude of the N400 is bigger for
    between-than for within-category violations.
  • The amplitude of the N400 is bigger for
    within-category violations in low than in hight
    constraint sentences.

51
Discussion
  • The aim of the study was to find out
  • To which extend the processing of the final word
    in the sentence is affected not only by specific
    information directly activated by prior words
    (context) in the sentence, but also by more
    general, context-independent information
    (semantic feature overlap) indirectly deriving
    from the structure of real-world knowledge in
    long-term memory.

52
Discussion
  • If the on-line processing of two items sharing
    significant numbers of semantic features in
    common differed when the preceding context more
    consistent with one than the other.
  • If the on-line processing of two items neither
    of which is especially consistent with the
    context, nonetheless differed as a function of
    their semantic similarity to the most probable or
    expected ending.
  • If the impact of either of these variables would
    be modulated by the degree to which the context
    anticipated a particular exemplar versus several
    possibilities.

53
Discussion
  • Expected exemplar elicited a late positivity.
  • Within-category violation elicited a moderate
    N400 between 300 and 600 ms
  • Conclusion
  • Context processing serves to make available
    specific feature information, not only general
    feature information.

54
Discussion
  • The amplitude of the N400 is larger in
    between-category violations than in
    within-category violations.
  • Conclusion
  • The language processing system is sensitive to
    the categorical relationship.
  • The influences of context and semantic feature
    overlap on a words processing are of the same
    kind.

55
Discussion
  • What was confirmed
  • Best completions enjoy greater processing
    benefits than semantically related but
    contextually unexpected endings, although both
    typically show facilated processing relative to
    contextually and semantically unrelated endings.

56
Discussion
  • What was found
  • The smaller N400 to within-category violations
    compared to between-category violations reflects
    an influence of semantic memory structure, built
    of real-world experience, on on-line language
    processing.
  • The processing systems sensitivity to the
    feature overlap affords within-category
    violations a processing benefit relative to the
    between-category violations.

57
Discussion
  • Contra arguments
  • The results reflect lexical associative priming
    from a word in the sentence context to the
    expected exemplar and, by extension, to the
    within-category violation.
  • No target sentences did not contain any lexical
    associates to any ending type
  • distance

58
Discussion
  • Contra-argument.
  • Plausibility within-category violations elicited
    smaller N400 than between category violation
    because they were more plausible, i.e., actually
    did fit the context better.
  • Plausibility alone does not suffice N400
    amplitudes are not monotonically related to rated
    plausibility. Broken down by contextual
    constraint.

59
Discussion
  • Effect of constraint on the N400 response, shown
    at the right medial central site. Constraint did
    not affect the response to expected exemplars or
    between-category violations. Within-category
    violations in high constraint sentences elicited
    smaller amplitude N400s than within-category
    violations in low constraint sentences.

60
Discussion
  • Contra-argument.
  • Plausibility.
  • Among the within-category violation endings, the
    more plausible endings elicit larger N400 than do
    the more implausible endings.

61
Discussion
  • Plausibility.
  • Checkmate! Rosaline announced with glee. She
    was getting to be really good at baseball. (H)
  • elicit a smaller N400 than
  • She keeps twirling it around and around under her
    collar. Stephanie seems really happy that Dan
    gave her that earring. (L)

62
Discussion
  • As lexical associative priming and plausibility
    are not enough to account for the N400 amplitude,
  • the explanation is inherent in the structure of
    information in long-term memory
  • Context sets up very specific expectations for
    the expected exemplar and provides the
    within-category violations with the greater
    facilitation.
  • Conclusion a functional link between the
    expected endings and the within-category
    violations, reflecting memory structure.

63
Discussion
  • N400 responds to the degree of mismatch of every
    word related to the context.
  • Overlap between of semantic features of the
    within-category violation and expected exemplar
    determines the size of the observed N400
    response.
  • Thus, long-term memory structure has an inherent
    effect on sentence processing in real time.

64
Discussion
  • What was known
  • Semantic memory has a categorical structural
    component.
  • What was observed
  • A reliable category-based effect during the
    processing of the sentence final word outside of
    a categorization task.
  • Conclusion
  • Category-based structure of long memory
    influences language processing.

65
Conclusion
  • Language comprehension system is sensitive to
    specific contextual information and to the
    consistency between that specific information and
    the meaning of a target word by around 375 ms
    into word processing.
  • In the same time window the influence of
    contextual information on word processing and
    influence of semantic overlap is observed.
  • It is an inherent influence of long-term memory
    structure on language processing.

66
Conclusion
  • The processing of a sentence context results in
    the activation of a set of semantic features
    associated with the word or words that are likely
    to come next.
  • Semantic feature (mis) match determines the
    difficulty pf processing.
  • Stronger contexts allow better predictions and
    greater facilitation for items that share
    features with the predicted word.

67
Conclusion
  • Context and long-memory structure have a dynamic,
    mutually dependent relationship with one another
    and contribute jointly to the process involved in
    making sense of what read.

68
The End!!!
Thank you!!!
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