Adapting the Interactive Activation Model for Context Recognition and Identification

2016 ◽  
Vol 6 (3) ◽  
pp. 1-30 ◽  
Author(s):  
Maya Sappelli ◽  
Suzan Verberne ◽  
Wessel Kraaij
Keyword(s):  
Activation Model ◽  
Context Recognition ◽  
Interactive Activation

Fast phonology and the Bimodal Interactive Activation Model

2010 ◽  
Vol 22 (5) ◽  
pp. 764-778 ◽  
Author(s):  
Kevin Diependaele ◽  
Johannes C. Ziegler ◽  
Jonathan Grainger
Keyword(s):  
Activation Model ◽  
Interactive Activation

Metameric

2018 ◽  
Vol 13 (3) ◽  
pp. 333-353
Author(s):  
Stéphan Tulkens ◽  
Dominiek Sandra ◽  
Walter Daelemans
Keyword(s):  
User Interfaces ◽  
Word Reading ◽  
Spoken Word Recognition ◽  
Spoken Word ◽  
Activation Model ◽  
Single Model ◽  
Psychological Model ◽  
Depth Analysis ◽  
Specific Factors ◽  
Interactive Activation

Abstract An oft-cited shortcoming of Interactive Activation as a psychological model of word reading is that it lacks the ability to simultaneously represent words of different lengths. We present an implementation of the Interactive Activation model, which we call Metameric, that can simulate words of different lengths, and show that there is nothing inherent to Interactive Activation which prevents it from simultaneously representing multiple word lengths. We provide an in-depth analysis of which specific factors need to be present, and show that the inclusion of three specific adjustments, all of which have been published in various models before, lead to an Interactive Activation model which is fully capable of representing words of different lengths. Finally, we show that our implementation is fully capable of representing all words between 2 and 11 letters in length from the English Lexicon Project (31, 416 words) in a single model. Our implementation is completely open source, heavily optimized, and includes both command line and graphical user interfaces, but is also agnostic to specific input data or problems. It can therefore be used to simulate a myriad of other models, e.g., models of spoken word recognition. The implementation can be accessed at www.github.com/clips/metameric.

Cross-language phonological activation of meaning: evidence from category verification

2011 ◽  
Vol 15 (1) ◽  
pp. 145-156 ◽  
Author(s):  
DEANNA C. FRIESEN ◽  
DEBRA JARED
Keyword(s):  
Second Language ◽  
Phonological Processing ◽  
Verification Task ◽  
Activation Model ◽  
Bilingual Reading ◽  
Interactive Activation ◽  
Language Control ◽  
Cross Language ◽  
Phonological Activation

The study investigated phonological processing in bilingual reading for meaning. English–French and French–English bilinguals performed a category verification task in either their first or second language. Interlingual homophones (words that share phonology across languages but not orthography or meaning) and single language control words served as critical stimuli. The interlingual homophones and their control words were not members of the categories, but their interlingual homophone mates were category members (e.g., A vegetable: shoe, where chou in French means “cabbage”). The bilinguals made more errors and had longer decision latencies on homophones than on their control words, providing evidence for cross-language phonological activation of meaning. Results are discussed with respect to the Bilingual Interactive Activation Model (BIA+).

Fast phonology and the bimodal interactive activation model

2009 ◽  
Author(s):  
Kevin Diependaele ◽  
Johannes C. Ziegler ◽  
Jonathan Grainger
Keyword(s):  
Activation Model ◽  
Interactive Activation
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