The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2017
DOI: 10.1080/23273798.2017.1355059
|View full text |Cite
|
Sign up to set email alerts
|

Lexical and sublexical effects on visual word recognition in Greek: comparing human behavior to the dual route cascaded model

Abstract: We evaluated the Dual Route Cascaded (DRC) model of visual word recognition using Greek behavioral data on word and nonword naming and lexical decision, focusing on the effects of syllable and bigram frequency. DRC was modified to process polysyllabic Greek words and nonwords. The Greek DRC and native speakers of Greek were presented with the same sets of word and nonword stimuli, spanning a wide range on several psycholinguistic variables, and the sensitivity of the model to lexical and sublexical variables w… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 59 publications
(78 reference statements)
0
3
0
Order By: Relevance
“…The 2001 version of the implemented DRC model consists of localist representations for single-syllable words (this model has also been applied to the processing of visible language in German, see Ziegler et al, 2000 and in Greek, Kapnoula et al, 2017). A single node (a lexical entry) corresponds to the correct spelling of each word known to the model in the orthographic input lexicon (the OIL) and a single node that corresponds to the phonological representation of each word it knows (the phonological output lexicon [the POL]).…”
Section: The Drc Modelmentioning
confidence: 99%
“…The 2001 version of the implemented DRC model consists of localist representations for single-syllable words (this model has also been applied to the processing of visible language in German, see Ziegler et al, 2000 and in Greek, Kapnoula et al, 2017). A single node (a lexical entry) corresponds to the correct spelling of each word known to the model in the orthographic input lexicon (the OIL) and a single node that corresponds to the phonological representation of each word it knows (the phonological output lexicon [the POL]).…”
Section: The Drc Modelmentioning
confidence: 99%
“…According to the “strong version” of ODH, in shallow/transparent orthographies with predictable letter-sound correspondences correct pronunciations for both words and nonwords could be computed via the sublexical pathway. In contrast to this theoretical assumptions, there is behavioral evidence ( Raman et al, 1996 ; Pagliuca et al, 2008 ; Marcolini et al, 2009 ; Difalcis et al, 2018 ; Ripamonti et al, 2018 ), neuropsychological evidence ( Ardila and Cuetos, 2016 ), modelling ( Seidenberg, 2011 ; Kapnoula et al, 2017 ), and neuroimaging ( Ischebeck et al, 2004 ; Danelli et al, 2015 ; Rueckl et al, 2015 ; Marinelli et al, 2016 ; Protopapas et al, 2016 ) suggesting that even in transparent orthographies the lexical-semantic processes are used for skilled reading of words. This evidence contradicts the “strong version” of ODH suggesting that there are distinct lexical-semantic and sublexical pathways in both shallow and deep orthographies which suggest that reading in all languages is supported by a neural network characterized by a universal dual-pathway architecture, and orthographic depth may influence the division of labor between the lexical-semantic and sublexical pathways ( Paulesu et al, 2000 ; Das et al, 2011 ; Cherodath and Singh, 2015 ; Mei et al, 2015 ; Oliver et al, 2017 ).…”
Section: Introductionmentioning
confidence: 97%
“…Although, in principle, dual-route models predict length effects only for words which are not represented in the orthographic lexicon, such as pseudowords, in reality many low frequency words may be novel to a reader. Therefore, it can be assumed that the dual-route view predicts WF × WL interaction (Balota et al, 2004;Kapnoula et al, 2017). Noteworthy, due to early divergence of the two routes immediately after the letter encoding stage (Perry et al, 2014), this interaction should start to emerge early (Fig.…”
Section: Introductionmentioning
confidence: 99%