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Conference Paper

DIANA, an end-to-end computational model of human word comprehension

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Ernestus,  Mirjam
Center for Language Studies , External Organizations;
Research Associates, MPI for Psycholinguistics, Max Planck Society;

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TenBosch_Boves_Ernestus_2015.pdf
(Publisher version), 153KB

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Citation

Ten Bosch, L., Boves, L., & Ernestus, M. (2015). DIANA, an end-to-end computational model of human word comprehension. In Scottish consortium for ICPhS, M. Wolters, J. Livingstone, B. Beattie, R. Smith, M. MacMahon, et al. (Eds.), Proceedings of the 18th International Congress of Phonetic Sciences (ICPhS 2015). Glasgow: University of Glasgow.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-34D8-B
Abstract
This paper presents DIANA, a new computational model of human speech processing. It is the first model that simulates the complete processing chain from the on-line processing of an acoustic signal to the execution of a response, including reaction times. Moreover it assumes minimal modularity. DIANA consists of three components. The activation component computes a probabilistic match between the input acoustic signal and representations in DIANA’s lexicon, resulting in a list of word hypotheses changing over time as the input unfolds. The decision component operates on this list and selects a word as soon as sufficient evidence is available. Finally, the execution component accounts for the time to execute a behavioral action. We show that DIANA well simulates the average participant in a word recognition experiment.