English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Some sociolinguistic variables are prone to hypercorrection, stigmatization and style shifting, while other variables are not. The status of the former type—sometimes called stereotypes and markers (Labov, 1972)—has been attributed to the increased meta-linguistic awareness language users seem to have of these variables. This awareness in turn is attributed to the salience of these variables, such that greater salience is assumed to cause greater meta-linguistic awareness (e.g., Trudgill, 1986). Salience has similarly been invoked when aiming to explain implicit social inferences about, or attitudes toward, speakers who exhibit certain variables in their speech (Babel, 2016; Drager and Kirtley, 2016; Squires, 2016). However, salience is a hard to define concept (for review, see Auer et al., 1998; Kerswill and Williams, 2002) and, partly as a consequence, “notoriously difficult to quantify” (Hickey, 2000). For a concept that plays such a central and ubiquitous role in sociolinguistic explanations, this is arguably a dangerous state of affairs.This motivates the present commentary. We believe that advances in computational psycholinguistics offer definitions of sociolinguistic salience that are more concrete, both empirically and formally grounded, and quantifiable (and thus falsifiable). We propose that it is important to distinguish between the initial salience a listener experiences when first encountering a novel variant (e.g., because of exposure to a previously unfamiliar dialect, sociolect, or idiolect—henceforth lects; Schirmunski, 1930; Preston, 1996), and salience at later stages. Salience after the initial encounter is the cumulative product of an individualu0027s experience related to the lectal variant, including direct experience, as well as discourse about the variant (e.g., explicit stereotyping or enregisterment, Agha, 2003). Here we focus on the causes for initial salience, which we think can be defined in a principled and quantifiable way.Specifically, we propose that salience in the first moments when a novel lect is encountered cannot be understood without reference to prior expectations based on listenersu0027 past language experience and the ensuing expectation violation that a listener experiences relative to those prior expectations—an idea explored in more depth by Racz (2012, 2013). Here we contribute to these efforts. We draw on basic concepts from probability and information theory to define initial salience as a function of (top-down) prior expectations. This has several advantages. First, the proposed definition of salience is quantifiable (see also Racz, 2013). Second, computational psycholinguistics has linked the very same quantities to language processing and learning. Recognizing this link offers the opportunity to ground sociolinguistic salience in human information processing—both empirically and theoretically—offering a parsimonious account of initial salience.After we have outlined our proposal, we briefly turn to an apparent puzzle that was raised during the workshop leading to this special issue: several presenters pointed out that salience sometimes seems to be inversely related to the frequency of a variant and other times positively related. This puzzle readily dissolves once the view proposed here is taken into account.

What the Heck Is Salience? How Predictive Language Processing Contributes to Sociolinguistic Perception