Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-2lccl Total loading time: 0 Render date: 2024-04-26T22:26:26.020Z Has data issue: false hasContentIssue false

5 - Linguistic Determinants of the Intelligibility of Swedish Words among Danes

Published online by Cambridge University Press:  12 September 2012

Sebastian Kürschner
Affiliation:
University of Erlangen-Nürnberg
Charlotte Gooskens
Affiliation:
University of Groningen
Renée van Bezooijen
Affiliation:
University of Nijmegen
John Nerbonne
Affiliation:
University of Groningen
Charlotte Gooskens
Affiliation:
University of Groningen
Sebastian Kürschner
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Renée van Bezooijen
Affiliation:
University of Groningen
Get access

Summary

Abstract In the present investigation we aim to determine to which degree various linguistic factors contribute to the intelligibility of Swedish words among Danes. We correlated the results of an experiment on word intelligibility with eleven linguistic factors and carried out logistic regression analyses. In the experiment, the intelligibility of 384 frequent Swedish words was tested among Danish listeners via the Internet. The choice of eleven linguistic factors was motivated by their contribution to intelligibility in earlier studies. The highest correlation was found in the negative correlation between word intelligibility and phonetic distances. Also word length, different syllable numbers, foreign sounds, neighbourhood density, word frequency, orthography, and the absence of the prosodic phenomenon of ‘stød’ in Swedish contribute significantly to intelligibility. Although the results thus show that linguistic factors contribute to the intelligibility of single words, the amount of explained variance was not very large (R2(Cox and Snell)= .16, R2 (Nagelkerke) = .21) when compared with earlier studies which were based on aggregate intelligibility. Partly, the lower scores result from the logistic regression model used. It was necessary to use logistic regression in our study because the intelligibility scores were coded in a binary variable. Additionally, we attribute the lower correlation to the higher number of idiosyncrasies of single words compared with the aggregate intelligibility and linguistic distance used in earlier studies. Based on observations in the actual data from the intelligibility experiment, we suggest further steps to be taken to improve the predictability of word intelligibility.

Type
Chapter
Information
Computing and Language Variation
International Journal of Humanities and Arts Computing Volume 2
, pp. 83 - 100
Publisher: Edinburgh University Press
Print publication year: 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×