2005
DOI: 10.1515/cllt.2005.1.1.113
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Language users as creatures of habit: A corpus-based analysis of persistence in spoken English

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Cited by 178 publications
(154 citation statements)
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“…There are a number of possible explanations for this difference. Priming has been argued to be subject to distance-based decay (e.g., Gries, 2005;Szmrecsanyi, 2005;Reitter et al, 2006). This may be a relevant factor as prime and target are relatively close together in coordination (only separated by one word), while the mean distance between prime and target is larger for priming in non-coordinate structures within the same sentence, and even larger for priming between sentences.…”
Section: Discussionmentioning
confidence: 99%
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“…There are a number of possible explanations for this difference. Priming has been argued to be subject to distance-based decay (e.g., Gries, 2005;Szmrecsanyi, 2005;Reitter et al, 2006). This may be a relevant factor as prime and target are relatively close together in coordination (only separated by one word), while the mean distance between prime and target is larger for priming in non-coordinate structures within the same sentence, and even larger for priming between sentences.…”
Section: Discussionmentioning
confidence: 99%
“…First, the existing literature on priming in corpora (e.g., Gries, 2005;Szmrecsanyi, 2005;Reitter, Moore, & Keller, 2006;Jaeger, 2006aJaeger, , 2006bJaeger & Snider, 2007) reports that a variety of factors can influence priming, including the distance between prime and target, the type and genre of the corpus, and whether prime and target are uttered by the same speaker. Previous work has used multiple regression methods to study priming in corpora; this approach is particularly useful when several factors are confounded, as regression makes it possible to quantify the relative contribution of each factor.…”
Section: Estimationmentioning
confidence: 99%
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“…This idealization has been fruitful, but it ultimately underestimates human language capacities. Language users reliably and systematically make probabilistic syntactic choices from multidimensional information (Arnold et al 2000, Bresnan 2006, Gries 2003, 2005a,b, Hay and Bresnan 2006, Hinrichs and Szmrecsányi to appear, Jaeger 2006Roland et al 2005, O'Connor et al 2005, Rosenbach 2002, this volume, Strunk 2005, Szmrecsányi 2005. In a recent study of English speakers' syntactic choices with give-type verbs during spontaneous conversations, Bresnan et al (2007) present a multivariable, multilevel logistic regression model that can accurately predict the choices on unseen data.…”
Section: Introductionmentioning
confidence: 99%