How stable are patterns of covariation across time?

Abstract Recent research into vowel covariation has suggested that speakers can be identified as leaders or laggers in multiple ongoing sound changes. What remains unclear is how stable a speaker’s patterns of covariation are over time and whether these leaders and laggers of sound changes remain leaders and laggers over time. We employ corpus data from 51 New Zealand English (NZE) speakers who were recorded at two time-points (eight years apart) and explore covariation between 10 monophthongs using principal component analysis (PCA). The results indicate significant stability across the time-points in two unique vowel clusters, suggesting that speakers’ covariation position within their community remains stable over time. The overall covariation patterns also replicate patterns previously observed in a different corpus of NZE, indicating that patterns of vowel covariation observed with PCA can be stable and replicable across multiple corpora.

Authors

Institutions

Publication Details

Journal
Language Variation and Change
Published
2025-03-01
DOI
https://doi.org/10.1017/s0954394525000043
Citations
4
Primary Topic
Linguistic Variation and Morphology
Type
article
Field-Weighted Citation Impact
18.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How stable are patterns of covariation across time?

Lynn Clark, Gia Hurring, Joshua Wilson Black, Jen Hay
4 citations
Language Variation and Change
Linguistic Variation and Morphology
18.39
article

How stable are patterns of covariation across time?

Lynn Clark, Gia Hurring, Joshua Wilson Black, Jen Hay
article en
4 citations

Abstract

Abstract Recent research into vowel covariation has suggested that speakers can be identified as leaders or laggers in multiple ongoing sound changes. What remains unclear is how stable a speaker’s patterns of covariation are over time and whether these leaders and laggers of sound changes remain leaders and laggers over time. We employ corpus data from 51 New Zealand English (NZE) speakers who were recorded at two time-points (eight years apart) and explore covariation between 10 monophthongs using principal component analysis (PCA). The results indicate significant stability across the time-points in two unique vowel clusters, suggesting that speakers’ covariation position within their community remains stable over time. The overall covariation patterns also replicate patterns previously observed in a different corpus of NZE, indicating that patterns of vowel covariation observed with PCA can be stable and replicable across multiple corpora.

Language Variation and ChangeVol. 37(1)
University of Canterbury (NZ), New Zealand Brain Research Institute (NZ)
Openalex Percentile: Top 1%
Linguistic Variation and Morphology
18.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

How stable are patterns of covariation across time? — Lynn Clark, Gia Hurring, et al. · Language Variation and Change (2025) | TGRS Research Map | TGRS