Abstract
There is much evidence that visual recognition of morphologically complex words (e.g., teacher) proceeds via a decompositional route, first involving recognition of their component morphemes (teach + -er). According to the Full Decomposition model, after the visual decomposition stage, followed by morpheme lookup, there is a final "recombination" stage, in which the decomposed morphemes are combined and the well-formedness of the complex form is evaluated. Here, we use MEG to provide evidence for the temporally-differentiated stages of this model. First, we demonstrate an early effect of derivational family entropy, corresponding to the stem lookup stage; this is followed by a surface frequency effect, corresponding to the later recombination stage. We also demonstrate a late effect of a novel statistical measure, semantic coherence, which quantifies the gradient semantic well-formedness of complex words. Our findings illustrate the usefulness of corpus measures in investigating the component processes within visual word recognition.
Original language | English (US) |
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Pages (from-to) | 81-96 |
Number of pages | 16 |
Journal | Brain and Language |
Volume | 143 |
DOIs | |
State | Published - Apr 2015 |
Keywords
- Adult
- Female
- Humans
- Magnetoencephalography
- Male
- Pattern Recognition, Visual
- Photic Stimulation
- Prefrontal Cortex
- Reaction Time
- Semantics
- Temporal Lobe
- Young Adult