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

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).

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tenBosch_Boves_Tucker_Ernestus_IS2015.pdf (Publisher version), 369KB
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 Creators:
Ten Bosch, Louis1, Author           
Boves, L.2, Author
Tucker, B3, Author
Ernestus, Mirjam1, 4, Author           
Affiliations:
1Centre for Language Studies, Radboud University, ou_55238              
2Radboud University, Nijmegen, The Netherlands, ou_persistent22              
3University of Alberta, Edmonton, Canada, ou_persistent22              
4Research Associates, MPI for Psycholinguistics, Max Planck Society, Wundtlaan 1, 6525 XD Nijmegen, NL, ou_2344700              

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 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.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published online
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 Rev. Type: Peer
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Title: Interspeech 2015 : 16th Annual Conference of the International Speech Communication Association
Place of Event: Dresden, Germany
Start-/End Date: 2015-09-06 - 2015-09-10

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Title: Proceedings of Interspeech 2015: The 16th Annual Conference of the International Speech Communication Association
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1576 - 1580 Identifier: -