DIANA: Towards computational modeling reaction times in lexical decision in 
North American English

Ten Bosch, Louis; Boves, L.; Tucker, B; Ernestus, Mirjam

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

DIANA: Towards computational modeling reaction times in lexical decision in North American English

MPS-Authors

/persons/resource/persons1469

Ernestus, Mirjam
Centre for Language Studies, Radboud University;
Research Associates, MPI for Psycholinguistics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

tenBosch_Boves_Tucker_Ernestus_IS2015.pdf
(Publisher version), 369KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Ten Bosch, L., Boves, L., Tucker, B., & Ernestus, M. (2015). DIANA: Towards computational modeling reaction times in lexical decision in North American English. In Proceedings of Interspeech 2015: The 16th Annual Conference of the International Speech Communication Association (pp. 1576-1580).

Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-1D65-1

Abstract

DIANA is an end-to-end computational model of speech processing, which takes as input the speech signal, and provides as output the orthographic transcription of the stimulus, a word/non-word judgment and the associated estimated reaction time. So far, the model has only been tested for Dutch. In this paper, we extend DIANA such that it can also process North American English. The model is tested by having it simulate human participants in a large scale North American English lexical decision experiment. The simulations show that DIANA can adequately approximate the reaction times of an average participant (r = 0.45). In addition, they indicate that DIANA does not yet adequately model the cognitive processes that take place after stimulus offset.