The goal of this study is to determine if various measures of contraction rate are regionally patterned in written Standard American English. In order to answer this question, this study employs a corpus-based approach to data collection and a statistical approach to data analysis. Based on a spatial autocorrelation analysis of the values of eleven measures of contraction across a 25 million word corpus of letters to the editor representing the language of 200 cities from across the contiguous United States, two primary regional patterns were identified: easterners tend to produce relatively few standard contractions (not contraction, verb contraction) compared to westerners, and northeasterners tend to produce relatively few non-standard contractions (to contraction, non-standard not contraction) compared to southeasterners. These findings demonstrate that regional linguistic variation exists in written Standard American English and that regional linguistic variation is more common than is generally assumed.
2023. A health data led approach for assessing potential health benefits of green and blue spaces: Lessons from an Irish case study. Journal of Environmental Management 345 ► pp. 118758 ff.
Asnaghi, Costanza, Dirk Speelman & Dirk Geeraerts
2016. Geographical patterns of formality variation in written Standard California English. Digital Scholarship in the Humanities 31:2 ► pp. 244 ff.
Cao, Yan & Richard Xiao
2013. A multi-dimensional contrastive study of English abstracts by native and non-native writers. Corpora 8:2 ► pp. 209 ff.
Coats, Steven
2020. Articulation Rate in American English in a Corpus of YouTube Videos. Language and Speech 63:4 ► pp. 799 ff.
De Pue, David, David Roet, Wouter Lefebvre & Jeroen Buysse
2017. Mapping impact indicators to link airborne ammonia emissions with nitrogen deposition in Natura 2000 sites. Atmospheric Environment 166 ► pp. 120 ff.
Dunn, Jonathan
2019. Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology. Frontiers in Artificial Intelligence 2
Grieve, J.
2013. A statistical comparison of regional phonetic and lexical variation in American English. Literary and Linguistic Computing 28:1 ► pp. 82 ff.
2023. A new local indicator of spatial autocorrelation identifies clusters of high rendaku frequency in Japanese place names. Journal of Linguistic Geography 11:1 ► pp. 1 ff.
Szmrecsanyi, Benedikt & Lieselotte Anderwald
2017. Corpus‐Based Approaches to Dialect Study. In The Handbook of Dialectology, ► pp. 300 ff.
Wieling, Martijn & John Nerbonne
2015. Advances in Dialectometry. Annual Review of Linguistics 1:1 ► pp. 243 ff.
Zhang, Haiping, Xingxing Zhou, Xin Gu, Lei Zhou, Genlin Ji & Guoan Tang
2018. Method for the Analysis and Visualization of Similar Flow Hotspot Patterns between Different Regional Groups. ISPRS International Journal of Geo-Information 7:8 ► pp. 328 ff.
This list is based on CrossRef data as of 29 february 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
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