Can the Discriminative Lexicon Model account for the family size effect in auditory word recognition?

Abstract Words with larger morphological families elicit shorter response times (RTs) in lexical decision experiments (e.g., Bertram et al. 2000 ). One possible account for this family size (FS) effect draws on the Discriminative Lexicon Model (DLM; Chuang & Baayen 2021 ), positing that morphological family members strengthen relationships between forms and meanings. While it has been shown that the DLM successfully explains FS effects in reading ( Mulder et al. 2014 ), we investigated whether it does so in listening too. We trained the computational model LDL-AURIS ( Shafaei-Bajestan et al. 2023 ), which implements the DLM, on Dutch and show that a measure derived from LDL-AURIS accounts for variance in auditory lexical decision RTs in Dutch, and also partially accounts for the same variance in the RTs as the auditory FS effect. Future research should investigate whether some other measure derived from the DLM can fully explain FS effects in listening.

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Publication Details

Journal
Nota Bene
Published
2024-12-31
DOI
https://doi.org/10.1075/nb.00010.mul
Citations
1
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.34
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article

Can the Discriminative Lexicon Model account for the family size effect in auditory word recognition?

Louis ten Bosch, Mirjam Ernestus, Hanno Müller
1 citations
Nota Bene
Face Recognition and Perception
0.34
article

Can the Discriminative Lexicon Model account for the family size effect in auditory word recognition?

Louis ten Bosch, Mirjam Ernestus, Hanno Müller
article en
1 citations

Abstract

Abstract Words with larger morphological families elicit shorter response times (RTs) in lexical decision experiments (e.g., Bertram et al. 2000 ). One possible account for this family size (FS) effect draws on the Discriminative Lexicon Model (DLM; Chuang & Baayen 2021 ), positing that morphological family members strengthen relationships between forms and meanings. While it has been shown that the DLM successfully explains FS effects in reading ( Mulder et al. 2014 ), we investigated whether it does so in listening too. We trained the computational model LDL-AURIS ( Shafaei-Bajestan et al. 2023 ), which implements the DLM, on Dutch and show that a measure derived from LDL-AURIS accounts for variance in auditory lexical decision RTs in Dutch, and also partially accounts for the same variance in the RTs as the auditory FS effect. Future research should investigate whether some other measure derived from the DLM can fully explain FS effects in listening.

Nota BeneVol. 1(2)
Radboud University Nijmegen (NL), Heinrich Heine University Düsseldorf (DE)
Openalex Percentile: Top 37%
Face Recognition and Perception
0.34
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Can the Discriminative Lexicon Model account for the family size effect in auditory word recognition? — Louis ten Bosch, Mirjam Ernestus, et al. · Nota Bene (2024) | TGRS Research Map | TGRS