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Word accents and phonological neighbourhood as predictive cues in spoken language comprehension

Söderström, Pelle LU ; Horne, Merle LU and Roll, Mikael LU (2016) Speech Prosody 2016 p.45-48
Abstract
The present contribution presents event-related potential (ERP) and functional magnetic resonance imaging (fMRI) findings related to the processing of Swedish word accents. These results are then discussed and further analysed in the context of models of word activations and phonological neighbourhoods. It has previously been seen that word accents (either a low tone (accent 1) or a high tone (accent 2) on a word stem) can be used to pre-activate suffixes. Furthermore, it has been found that accent 1 seems to be a stronger suffix "predictor" of upcoming suffixes as compared to accent 2. It has been proposed that accent 1 stems give rise to a pre-activation negativity brain potential, which is related to their high inherent predictive... (More)
The present contribution presents event-related potential (ERP) and functional magnetic resonance imaging (fMRI) findings related to the processing of Swedish word accents. These results are then discussed and further analysed in the context of models of word activations and phonological neighbourhoods. It has previously been seen that word accents (either a low tone (accent 1) or a high tone (accent 2) on a word stem) can be used to pre-activate suffixes. Furthermore, it has been found that accent 1 seems to be a stronger suffix "predictor" of upcoming suffixes as compared to accent 2. It has been proposed that accent 1 stems give rise to a pre-activation negativity brain potential, which is related to their high inherent predictive weight as regards associated suffixes. The present study suggests that the processing differences between accent 1 and 2 can partly be explained by the difference in the number of word activations elicited by accent 1 and accent 2 word stems. This idea is tested by means of a regression analysis, which found that words in denser phonological neighbourhoods elicit smaller ERP negativities. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
prosody, word accents, ERP, phonological neighbourhood
pages
45 - 48
conference name
Speech Prosody 2016
external identifiers
  • Scopus:84982980429
language
English
LU publication?
yes
id
d007143d-d5db-49a2-9247-b4933a9bf8ae
alternative location
http://www.isca-speech.org/archive/sp2016/pdfs_stamped/37.pdf
date added to LUP
2016-06-06 22:06:31
date last changed
2016-10-13 05:09:52
@misc{d007143d-d5db-49a2-9247-b4933a9bf8ae,
  abstract     = {The present contribution presents event-related potential (ERP) and functional magnetic resonance imaging (fMRI) findings related to the processing of Swedish word accents. These results are then discussed and further analysed in the context of models of word activations and phonological neighbourhoods. It has previously been seen that word accents (either a low tone (accent 1) or a high tone (accent 2) on a word stem) can be used to pre-activate suffixes. Furthermore, it has been found that accent 1 seems to be a stronger suffix "predictor" of upcoming suffixes as compared to accent 2. It has been proposed that accent 1 stems give rise to a pre-activation negativity brain potential, which is related to their high inherent predictive weight as regards associated suffixes. The present study suggests that the processing differences between accent 1 and 2 can partly be explained by the difference in the number of word activations elicited by accent 1 and accent 2 word stems. This idea is tested by means of a regression analysis, which found that words in denser phonological neighbourhoods elicit smaller ERP negativities.},
  author       = {Söderström, Pelle and Horne, Merle and Roll, Mikael},
  keyword      = {prosody,word accents,ERP,phonological neighbourhood},
  language     = {eng},
  pages        = {45--48},
  title        = {Word accents and phonological neighbourhood as predictive cues in spoken language comprehension},
  year         = {2016},
}