Mathematical treatment of context effects in phoneme and word recognition

1988 ◽  
Vol 84 (1) ◽  
pp. 101-114 ◽  
Author(s):  
Arthur Boothroyd ◽  
Susan Nittrouer
2002 ◽  
Vol 5 (3) ◽  
pp. 199-201 ◽  
Author(s):  
Marc Brysbaert ◽  
Ilse van Wijnendaele ◽  
Wouter Duyck

It is not easy to comment on Dijkstra and Van Heuven's model because there are many more aspects we agree with than aspects we feel uncomfortable about. Indeed, the BIA model has played an enormous role in showing us how bilingual visual word recognition can be achieved without recurrence to the intuitively appealing – but wrong – ideas of separate, language-specific lexicons and language-selective access. As in many other research areas, a working computational model has been much more influential in convincing critical readers (and researchers) than any series of empirical findings. The BIA+ model inherits this strength and, hopefully, in the coming years will be implemented in enough detail to exceed its predecessor. In the rest of this comment, we would like to put a cautionary note behind the temporal delay assumption introduced in the target article and provide some additional corroborating evidence for the lack of non-linguistic effects on early processes in the identification system.


2014 ◽  
Vol 114 (03) ◽  
pp. 447-467
Author(s):  
Angèle Brunellière ◽  
Ulrich Hans Frauenfelder

2002 ◽  
Vol 5 (3) ◽  
pp. 216-217 ◽  
Author(s):  
Michael S. C. Thomas

The target article represents a significant advance in the level of sophistication applied to models of bilingual word recognition, and Dijkstra and van Heuven are to be congratulated on this endeavour. Bearing in mind the success of the (computational) BIA model in capturing detailed patterns of experimental data, I look forward to future simulation results from the BIA+ when the proposals of this new framework are implemented. It is an essential step to draw a distinction between recognition systems and the decision mechanisms that drive responses, and the authors have provided a novel way of apportioning empirical evidence of context effects in bilingual word recognition across this divide. Given the explanatory weight now being placed on decision mechanisms rather than the word recognition system itself, perhaps indeed it is now time to make some simplifying assumptions about the recognition system and start building detailed computational models of the decision component of the system. Implementation will provide the clarity of theorisation and evaluation of theory viability that have been the hallmark of the BIA model thus far.


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