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 …
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 …
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 …
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 …
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 …
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 …
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 …
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) …