Phonological (un)certainty weights lexical activation
Abstract
Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that the listener's probability distribution over lexical items is weighted by the outcome of both computations: uncertainty about phonological discretisation and the frequency of the selected word(s). To test this, we record neural responses in auditory cortex using magnetoencephalography, and model this activity as a function of the size and relative activation of lexical candidates. Our findings indicate that towards the beginning of a word, the processing system indeed weights lexical candidates by both phonological certainty and lexical frequency; however, later into the word, activation is weighted by frequency alone.
Cite
@article{arxiv.1711.06729,
title = {Phonological (un)certainty weights lexical activation},
author = {Laura Gwilliams and David Poeppel and Alec Marantz and Tal Linzen},
journal= {arXiv preprint arXiv:1711.06729},
year = {2017}
}
Comments
6 pages, 4 figures, accepted at: Cognitive Modeling and Computational Linguistics (CMCL) 2018