Explaining microvariation using the Tolerance Principle: plugging the <i>amn’t</i> gap

Abstract In this article, we describe and explain patterns of variation in acceptance of amn’t in varieties of Scots, drawing upon data from the Scots Syntax Atlas. Partly in line with findings from Bresnan (2001), we show that amn’t is much more widely accepted in inversion environments ( amn’t I ?) than in declaratives ( I amn’t ), but nevertheless, amn’t in declaratives is still accepted in certain regions of Scotland. We combine the productivity-based explanation of the amn’t gap in Yang (2016, 2017) with new insights into the syntax of Scots negation from Thoms et al. (2023) to provide a predictive account of the attested variation.

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Publication Details

Journal
Journal of Linguistics
Published
2024-10-14
DOI
https://doi.org/10.1017/s0022226724000203
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Explaining microvariation using the Tolerance Principle: plugging the amn’t gap

Elizabeth R. Jamieson, Gary Thoms, David Adger, Caroline Heycock et al.
Journal of Linguistics
Natural Language Processing Techniques
article

Explaining microvariation using the Tolerance Principle: plugging the amn’t gap

Elizabeth R. Jamieson, Gary Thoms, David Adger, Caroline Heycock, Jennifer Smith
article en

Abstract

Abstract In this article, we describe and explain patterns of variation in acceptance of amn’t in varieties of Scots, drawing upon data from the Scots Syntax Atlas. Partly in line with findings from Bresnan (2001), we show that amn’t is much more widely accepted in inversion environments ( amn’t I ?) than in declaratives ( I amn’t ), but nevertheless, amn’t in declaratives is still accepted in certain regions of Scotland. We combine the productivity-based explanation of the amn’t gap in Yang (2016, 2017) with new insights into the syntax of Scots negation from Thoms et al. (2023) to provide a predictive account of the attested variation.

Journal of LinguisticsVol. 61(2)
Queen Mary University of London (GB), University of York (GB), New York University (US), University of Glasgow (GB), University of Edinburgh (GB)
Yale University, Arts and Humanities Research Council
Decent work and economic growth
Openalex Percentile: Top 84%
Natural Language Processing Techniques
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