Frequency and Consistency Effects in Polysyllabic Word Naming and Lexical Decision

2013 ◽  
Author(s):  
Devin M. Kearns ◽  
Xin Xu ◽  
Robert Putnam ◽  
Reem Al Ghanem
2018 ◽  
Vol 22 (04) ◽  
pp. 687-688 ◽  
Author(s):  
IVA IVANOVA ◽  
DANIEL KLEINMAN

A major benefit of computational models is their ability to demonstrate which theoretical assumptions are truly necessary to explain a pattern of data. Dijkstra, Wahl, Buytenhuijs, van Halem, Al-jibouri, de Korte, and Rekké (in press) have impressively shown with Multilink that it is possible to account for a range of findings from bilingual lexical decision, word naming, and forward and backward translation tasks with an integrated lexicon, without lateral connections between translation equivalents, and without inhibition. In this commentary, we consider the applicability of the current model to other multilingual language production tasks, and note where the model's assumptions might need revision as its scope is expanded.


2020 ◽  
Author(s):  
Yu-Ying Chuang ◽  
Marie-lenka Voller ◽  
Elnaz Shafaei-Bajestan ◽  
Susanne Gahl ◽  
Peter Hendrix ◽  
...  

Nonwords are often used to clarify how lexical processing takes place in the absence of semantics. This study shows that nonwords are not semantically vacuous. We used Linear Discriminative Learning (Baayen et al., 2019) to estimate the meanings of nonwords in the MALD database (Tucker et al., 2018) from the speech signal. We show that measures gauging nonword semantics significantly improve model fit for both acoustic durations and RTs. Although nonwords do not evoke meanings that afford conscious reflexion, they do make contact with the semantic space, and the angles and distances of nonwords with respect to actual words co-determine articulation and lexicality decisions.


2002 ◽  
Vol 47 (1) ◽  
pp. 91-124 ◽  
Author(s):  
Annette M.B. de Groot ◽  
Susanne Borgwaldt ◽  
Mieke Bos ◽  
Ellen van den Eijnden

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