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The Science of Reading
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Why is reading unique?
recent cultural invention
not universal
requires explicit teaching
Why is reading important globally?
illiteracy costs >$1 trillion annually (World Literacy Foundation, 2015)
What does recognising a word involve?
identifying letters
correct order
matching to mental lexicon
How fast is visual word recognition?
~500-600ms for:
naming
lexical decision
meaning judgment
What are key facts about eye movements?
fixations: 200-250 ms
saccades: jumps between words
fovea processes: ~4-5 letters
What variables affect reading speed?
frequency
word length
age of acquisition
semantic ambiguity
neighbourhood size
What is the MegaStudy approach?
Balota et al. (2014)
large datasets of words
regression analyses
Purpose: identify factors influencing word recognition
What is Forster’s model?
Forster (1976)
serial search model
words checked one-byone
What is the Logogen Model?
Morton (1969)
parallel processing
word detectors activated by input
What are connectionist models?
neural network inspired
parallel distributed processing
developed in 1980s
What is the Interactive Activation Model?
McClelland and Rumelhart (1981,1982)
structure:
3 levels: features, letters, words
mechanisms:
activation spreads, excitatory + inhibitory connections
What is the Word Superiority Effect?
letters recognised better in real words than non-worda
What are limitations of the IAC model?
poor letter position coding
cannot handle letter swaps well
ignores phonology
Why is sound important in reading?
alphabetic systems map letters - sounds
helps children “crack the code”
What are the two routes in reading?
indirect (phonological) - sounding out
direct (lexical) - whole word recognition
How do we understand ambiguous words?
multiple meanings activated
one selected rapidly
What is the Reordered Access Model?
meaning access influenced by: frequency (dominance), context
What did Duffy et al. (1988) show?
Method:
eye tracking during reading
ambiguous words (e.g. “port”)
Conditions:
early vs. late context
Results:
slower processing depending on: context timing, meaning dominance
Conclusions:
meaning selection is: dynamic, context-sensitive
What did Rodd et al. (2013) show?
Method:
priming - filler - test
Result:
recent exposure affects meaning choice
What did Rodd et al. (2016) show?
long-term experience shapes meaning preferences
example: rowers interpret “catch” differently
What are the core problems in language processing?
variability
timing
ambiguity
What are the key mechanisms?
parallel processing
top-down influence
learning and experience