The salient elephant in the room:exploring the concept of linguistic salience

The concept of linguistic salience is used differently in different subfields of linguistics. For example, in some subfields, linguistic salience has to do with the amount of attention a particular feature draws. In other subfields, linguistic salience relates to the prominence or frequency of a feature. Despite this variation, the meaning of this concept is assumed to be self-explanatory. When the concept is defined, in many cases the definition is circular. This is problematic because linguistic salience is used to explain multiple language related processes, such as language learning and language variation and change. It is no wonder, then, that the concept has been called ``notoriously difficult to quantify'' (Hickey, 2000). In this sense, the concept of salience is an elephant in the room. Accordingly, this dissertation addresses two questions. The first regards determining if there is a way to unify all the uses of linguistic salience in the literature. The second question involves identifying a quantifiable measure of linguistic salience. To answer these questions, I combine sociolinguistic theories with psycholinguistic methodologies. The research outcomes show that remarkability and complexity are underlying dimensions of linguistic salience. These operationalizations of linguistic salience can be explained through probability and context. Moreover, a feature’s salience can be measured through ERPs, but results are highly dependent on the situational context

What is Salience?

A commonly used concept in linguistics is salience. Oftentimes it is used without definition, and the meaning of the concept is repeatedly assumed to be self-explanatory. The definitions that are provided may vary greatly from one operationalization of salience to the next. In order to find out whether it is possible to postulate an overarching working definition of linguistic salience that subsumes usage across linguistic subdomains, we review these different operationalizations of linguistic salience. This article focuses on salience in sociolinguistics, cognitive linguistics, second-language acquisition (SLA), and semantics. In this article, we give an overview of how these fields operationalize salience. Finally, we discuss correlations and contradictions between the different operationalizations

Salience is in the eye of the beholder:Increased pupil size reflects acoustically salient variables

‘Salience’ is a term frequently used in linguistics but an exact definition for the concept is lacking. Recent technological advances which allow us to explore the cognitive processing of so-called salient linguistic features could provide us with quantifiable measures of ‘salience’, and lead to a further understanding of the concept and its relationship to language acquisition and change. In this paper we measure pupil dilation with the assumption that auditory salience results in a change in pupil size, as an effect of cognitive load. We report an experimental study observing Dutch participants' pupil sizes when listening to stimuli containing salient and non-salient variants of linguistic variables (e.g. Dutch coda/r/; speech intensity, word frequency). Using Generalized Additive Mixed Modelling (GAMM), we find pupil size increases for three of six stimuli categories. We consider our findings in light of the speech processing literature, address the (dis)advantages of the technique, and formulate some recommendations for future advances in neurophysiological measures in (socio)linguistics

Untangling Linguistic Salience

The concept of linguistic salience is broadly used within sociolinguistics to account for processes as diverse as language change (Kerswill & Williams, 2002) and language acquisition (Ellis, 2016) in that salient forms are e.g. more likely to undergo change, or are often acquired earlier than other features. However, the meaning of salience is “notoriously difficult to quantify” (Hickey, 2000, p. 57) and definitions of the term given in the literature often differ to such a degree that one could dispute whether the concept of salience has explanatory value (cf. Rácz, 2013). Accordingly, what makes a particular linguistic feature salient is contested: some argue that salience can be defined by linguistic traits such as loudness, high word-frequency, or a greater articulatory effort, whereas others argue that salience is a result of associations with social factors (cf. Kerswill & Williams, 2002). In a pilot study, we used eye-tracking to collect pupil dilation data while participants listened to spoken samples that were hypothesized to be either salient or not. These differences in salience were based on notions taken from the literature and included traits such as acoustical prominence, gender violations, loudness and differing realizations of the consonants /r/ and /v/. We were able to show that pupil size increased significantly for salient variables in the categories acoustic prominence, gender and loudness, pointing towards an increase in brain activity for these variables. In this poster, we propose to untangle how the concept is used. To those ends, we conducted a review of the literature on salience and identified different ways of operationalizing it. We conclude by discussing how salience could be decomposed in terms of other notions such as frequency, surprisal and markedness. We then propose a series of experiments using eye-tracking and ERP experiments

Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice: GLORIA-AF Registry

Background and purpose: Prospectively collected data comparing the safety and effectiveness of individual non-vitamin K antagonists (NOACs) are lacking. Our objective was to directly compare the effectiveness and safety of NOACs in patients with newly diagnosed atrial fibrillation (AF). Methods: In GLORIA-AF, a large, prospective, global registry program, consecutive patients with newly diagnosed AF were followed for 3 years. The comparative analyses for (1) dabigatran vs rivaroxaban or apixaban and (2) rivaroxaban vs apixaban were performed on propensity score (PS)-matched patient sets. Proportional hazards regression was used to estimate hazard ratios (HRs) for outcomes of interest. Results: The GLORIA-AF Phase III registry enrolled 21,300 patients between January 2014 and December 2016. Of these, 3839 were prescribed dabigatran, 4015 rivaroxaban and 4505 apixaban, with median ages of 71.0, 71.0, and 73.0 years, respectively. In the PS-matched set, the adjusted HRs and 95% confidence intervals (CIs) for dabigatran vs rivaroxaban were, for stroke: 1.27 (0.79–2.03), major bleeding 0.59 (0.40–0.88), myocardial infarction 0.68 (0.40–1.16), and all-cause death 0.86 (0.67–1.10). For the comparison of dabigatran vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 1.16 (0.76–1.78), myocardial infarction 0.84 (0.48–1.46), major bleeding 0.98 (0.63–1.52) and all-cause death 1.01 (0.79–1.29). For the comparison of rivaroxaban vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 0.78 (0.52–1.19), myocardial infarction 0.96 (0.63–1.45), major bleeding 1.54 (1.14–2.08), and all-cause death 0.97 (0.80–1.19). Conclusions: Patients treated with dabigatran had a 41% lower risk of major bleeding compared with rivaroxaban, but similar risks of stroke, MI, and death. Relative to apixaban, patients treated with dabigatran had similar risks of stroke, major bleeding, MI, and death. Rivaroxaban relative to apixaban had increased risk for major bleeding, but similar risks for stroke, MI, and death. Registration: URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01468701, NCT01671007. Date of registration: September 2013

Anticoagulant selection in relation to the SAMe-TT2R2 score in patients with atrial fibrillation. the GLORIA-AF registry

Aim: The SAMe-TT2R2 score helps identify patients with atrial fibrillation (AF) likely to have poor anticoagulation control during anticoagulation with vitamin K antagonists (VKA) and those with scores >2 might be better managed with a target-specific oral anticoagulant (NOAC). We hypothesized that in clinical practice, VKAs may be prescribed less frequently to patients with AF and SAMe-TT2R2 scores >2 than to patients with lower scores. Methods and results: We analyzed the Phase III dataset of the Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF), a large, global, prospective global registry of patients with newly diagnosed AF and ≥1 stroke risk factor. We compared baseline clinical characteristics and antithrombotic prescriptions to determine the probability of the VKA prescription among anticoagulated patients with the baseline SAMe-TT2R2 score >2 and ≤ 2. Among 17,465 anticoagulated patients with AF, 4,828 (27.6%) patients were prescribed VKA and 12,637 (72.4%) patients an NOAC: 11,884 (68.0%) patients had SAMe-TT2R2 scores 0-2 and 5,581 (32.0%) patients had scores >2. The proportion of patients prescribed VKA was 28.0% among patients with SAMe-TT2R2 scores >2 and 27.5% in those with scores ≤2. Conclusions: The lack of a clear association between the SAMe-TT2R2 score and anticoagulant selection may be attributed to the relative efficacy and safety profiles between NOACs and VKAs as well as to the absence of trial evidence that an SAMe-TT2R2-guided strategy for the selection of the type of anticoagulation in NVAF patients has an impact on clinical outcomes of efficacy and safety. The latter hypothesis is currently being tested in a randomized controlled trial. Clinical trial registration: URL: https://www.clinicaltrials.gov//Unique identifier: NCT01937377, NCT01468701, and NCT01671007

What is Salience?

A commonly used concept in linguistics is salience. Oftentimes it is used without definition, and the meaning of the concept is repeatedly assumed to be self-explanatory. The definitions that are provided may vary greatly from one operationalization of salience to the next. In order to find out whether it is possible to postulate an overarching working definition of linguistic salience that subsumes usage across linguistic subdomains, we review these different operationalizations of linguistic salience. This article focuses on salience in sociolinguistics, cognitive linguistics, second-language acquisition (SLA), and semantics. In this article, we give an overview of how these fields operationalize salience. Finally, we discuss correlations and contradictions between the different operationalizations

Pupil Size Reflects Increased Processing Load for Salient Variables

In linguistics, salience is used to point towards features that are e.g. more prominent or occur with more regularity. An exact and univocal definition of the concept of salience is currently lacking, but some have proposed that we might look into the possible relationship there might be with processing load (cf. Ellis, 2016). Technical advances in the fields of psycho and neurolinguistics provide us with opportunities for exploring this potential relationship between salience and cognition. While these techniques cannot provide us with an answer to the question of what salience is, the possibility of having a quantitative measure of salience can bring us closer to measuring its relationship with linguistic and social factors. One particularly useful technique in this respect is eye-tracking. Auditory salience may be related to dilation in pupil size, which in turn reflects cognitive load or mental effort (cf. Blumenthal-Dramé et al., 2017; Ellis, 2016). The present study therefore examines participants’ pupil sizes while listening to stimuli in which various linguistic categories are manipulated to contain salient and non-salient equivalent variants (e.g. high intensity recordings vs. low intensity recordings, recordings with high-frequency words vs. low-frequency words). Using Generalized Additive Modeling (GAM), we found that pupil size significantly increased for three of the categories we hypothesized to be salient: Acoustic Prominence, Gender and Loudness. This points towards an increase in processing effort for these categories