2017
DOI: 10.1016/j.jml.2016.05.002
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Letter coding in visual word recognition: The impact of embedded words

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Cited by 14 publications
(12 citation statements)
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References 41 publications
(105 reference statements)
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“…This finding constitutes important evidence against any sequential beginning-to-end processing bias that might influence complex word recognition (for converging evidence, see also Bowers, Davis, & Hanley, 2005). Our results also converge with previous evidence for embedded word activation mechanisms in monomorphemic nonwords (e.g., wish in dwish; Davis & Taft, 2005; Taft et al, 2017). In line with our present findings, Taft et al (2017) suggest that edge-alignedness is an important factor underlying embedded word processing (i.e., initial and final consonants have priority in assigning letters to their position), whereas priming is not expected to arise for a mid- or outer-embedded words because of the disruption to the onset + vowel + coda structure of the target.…”
Section: Discussionsupporting
confidence: 91%
See 1 more Smart Citation
“…This finding constitutes important evidence against any sequential beginning-to-end processing bias that might influence complex word recognition (for converging evidence, see also Bowers, Davis, & Hanley, 2005). Our results also converge with previous evidence for embedded word activation mechanisms in monomorphemic nonwords (e.g., wish in dwish; Davis & Taft, 2005; Taft et al, 2017). In line with our present findings, Taft et al (2017) suggest that edge-alignedness is an important factor underlying embedded word processing (i.e., initial and final consonants have priority in assigning letters to their position), whereas priming is not expected to arise for a mid- or outer-embedded words because of the disruption to the onset + vowel + coda structure of the target.…”
Section: Discussionsupporting
confidence: 91%
“…The second key finding is that the magnitude of priming was the same whether the target word was the first or the second constituent of the prime ( textbook-BOOK vs. textbook-TEXT ). This result is compatible with previous studies investigating compound word processing (Crepaldi et al, 2013; Duñabeitia, Laka, Perea, & Carreiras, 2009; Duñabeitia, Marín, et al, 2009; Libben, Gibson, Yoon, & Sandra, 2003; Monsell, 1985; Sandra, 1990; Shoolman & Andrews, 2003; Zwitserlood, 1994), and suggests that both constituents of a compound word contribute equally to lexical access (but see Taft & Forster, 1976; Taft, Xu, & Li, 2017, who suggest that the first constituent is more important). Unlike prefixes and suffixes, embedded words are not subject to positional constraints, and this can explain why the identification of stem morphemes is position independent (Crepaldi et al, 2013).…”
Section: Discussionsupporting
confidence: 91%
“…Most computational models of written-word recognition cannot account for the present findings, as they assign the same role to vowels and consonants. To accommodate the present data, the front-end orthographic scheme of leading models of written-word identification and reading should assign a stronger role to consonant than to vowel letters from the earliest stages of processing (see Duñabeitia & Carreiras, 2011; Taft et al, 2017, for discussion). This consonant/vowel dissociation should apply not only to the encoding of letter identities but also to the encoding of letter positions (see Carreiras, Vergara, & Perea, 2009; Comesaña et al, 2016; Lupker, Perea, & Davis, 2008; Perea & Lupker, 2004, for evidence of consonant/vowel differences in letter position coding).…”
Section: Discussionmentioning
confidence: 96%
“…For instance, in the two-cycle model proposed by Berent and Perfetti (1995), consonants are quickly processed in an initial cycle, whereas vowels are processed more slowly in a second cycle. Similarly, the subsyllabic processing account proposed by Taft, Xu, and Li (2017) assumes that “vowels are immediately differentiated from consonants” and that “the orthographic system comprises a hierarchical set of units representing onsets, vowels, and codas” (pp. 19–20).…”
mentioning
confidence: 99%
“…For researchers interested in studying, as another example, reading and visual word recognition, a single colour per word is simply not sufficient. In order to contribute meaningfully to the long-standing debate over how different letters inform the recognition of a word [41], researchers must be able to model how each letter contributes to the overall royalsocietypublishing.org/journal/rstb Phil. Trans.…”
Section: Implications For the Psycholinguistics Of Synaesthesiamentioning
confidence: 99%