The processing of pseudoword form and meaning in production and comprehension: A computational modeling approach using linear discriminative learning

YY Chuang, ML Vollmer, E Shafaei-Bajestan… - Behavior research …, 2021 - Springer
Pseudowords have long served as key tools in psycholinguistic investigations of the lexicon.
A common assumption underlying the use of pseudowords is that they are devoid of …

LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words

E Shafaei-Bajestan, M Moradipour-Tari… - Language, Cognition …, 2023 - Taylor & Francis
ABSTRACT A computational model for the comprehension of single spoken words is
presented that builds on an earlier model using discriminative learning. Real-valued …

Bilingual and multilingual mental lexicon: a modeling study with Linear Discriminative Learning

YY Chuang, MJ Bell, I Banke… - Language Learning, 2021 - Wiley Online Library
This study addresses whether there is anything special about learning a third language, as
compared to learning a second language, that results solely from the order of acquisition …

Simulating phonological and semantic impairment of English tense inflection with linear discriminative learning

M Heitmeier, RH Baayen - The Mental Lexicon, 2020 - jbe-platform.com
This study applies the computational theory of the 'discriminative lexicon'to the modeling of
the production of English verbs in aphasic speech. Under semantic impairment, speakers …

[PDF][PDF] LDL-AURIS: Error-driven learning in modeling spoken word recognition

E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig… - PsyArXiv (Preprent) …, 2020 - files.osf.io
ABSTRACT A computational model for auditory word recognition is presented that enhances
the model of Arnold et al.(2017). Real-valued features are extracted from the speech signal …

[PDF][PDF] " All mimsy were the borogoves”–A discriminative learning model of morphological knowledge in pseudo-word inflection

J Nieder, R van de Vijver, F Tomaschek - 2021 - psyarxiv.com
Grammatical knowledge of native speakers has often been investigated in so-called wug
tests, in which participants have to inflect pseudo-word forms (wugs). Typically it has been …

[PDF][PDF] LDL-AURIS

E Shafaei-Bajestana, M Moradipour-Taria, P Uhrigb… - academia.edu
ABSTRACT A computational model for the comprehension of single spoken words is
presented that enhances the model of Arnold et al.(2017). Real-valued features are …

LDL-AURIS: A computational model, grounded in error-driven learning, for the comprehension of single spoken words

E Shafaei-Bajestan, M Moradipour-Tari, P Uhrig… - 2020 - osf.io
A computational model for auditory word recognition is presented that enhances the model
of Arnold et al.(2017). Real-valued features are extracted from the speech signal instead of …

Modeling lexical processing with Linear Discriminative Learning: An introduction to the discriminative lexicon with the WpmWithLdl package for R

YY Chuang, H Baayen - ccp.artsrn.ualberta.ca
The discriminative lexicon put forward by Baayen et al.(2019) is a dynamic system that
constantly learns and changes the association weights between cues (eg, speech signal) …