Durational Evidence That Tokyo Japanese Vowel Devoicing Is Not Gradient Reduction.
Clicks: 255
ID: 49851
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
255 views
40 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #292 of 510 articles by views in Frontiers in psychology
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 510 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A central question in the Japanese high vowel devoicing literature concerns whether vowels are devoiced through a categorical process or via gradient reduction. Examining how vowel height and consonantal voicing condition phrase-internal CV duration in a corpus of spontaneous Tokyo Japanese, it was found that CVs containing high vowels are substantially shorter before voiceless consonants, whilst non-high vowels do not exhibit comparable shortening. This quantitative difference between CV durations suggests a controlled temporal compression of the CV, consistent with views that Japanese vowel devoicing is produced through a categorical process targeting high vowels preceding voiceless consonants, and supports previous observations made of elicited productions.
| Reference Key |
tanner2019durationalfrontiers
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Tanner, James;Sonderegger, Morgan;Torreira, Francisco; |
| Journal | Frontiers in psychology |
| Year | 2019 |
| DOI |
10.3389/fpsyg.2019.00821
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.