Research & funding
My preferred theoretical framework is usage-based/experience-based linguistics. My research interests all broadly fall within the remit of variationist linguistics and variation studies, including their interfaces with typology, geolinguistics, and psycholinguistics. I view linguistic variation as a window into the hidden structure of human language and the nature of linguistic knowledge. My research interests specifically include:
variation studies (synchronic & diachronic)
sociolinguistics and register analysis
geolinguistics, dialectology & dialectometry, and dialect typology
Recent representative publications
Szmrecsanyi, Benedikt, Jason Grafmiller & Laura Rosseel (2019). "Variation-Based Distance and Similarity Modeling: a case study in World Englishes". Frontiers in Artificial Intelligence 2:23.
DOI: 10.3389/frai.2019.00023 | open access here
Ehret, Katharina & Benedikt Szmrecsanyi (2019). "Compressing learner language: an information-theoretic measure of complexity in SLA production data". Second Language Research 35(1): 23-45.
DOI: 10.1177/0267658316669559 | manuscript
Szmrecsanyi, Benedikt, Jason Grafmiller, Joan Bresnan, Anette Rosenbach, Sali Tagliamonte & Simon Todd (2017). "Spoken syntax in a comparative perspective: the dative and genitive alternation in varieties of English". Glossa: a journal of general linguistics. 2(1): 86.
DOI: 10.5334/gjgl.310 (open access)
Szmrecsanyi, Benedikt (2016). "An analytic-synthetic spiral in the history of English". In: Elly van Gelderen (ed.), Cyclical Change Continued. Amsterdam: Benjamins, 93-112.
DOI: 10.1075/la.227.04szm | uncorrected page proofs
Current funded projects
The register-specificity of probabilistic grammatical knowledge in English and Dutch
Applicant and PI, with Jason Grafmiller and Freek Van de Velde (Co-PIs)
Funded by the Research Foundation Flanders (FWO) (grant # G0D4618N, budget: €229,000)
Nephological Semantics: using token clouds for meaning detection in variationist linguistics
Co-PI with Dirk Geeraerts, Stefania Marzo & Dirk Speelman
Funded by a C1 grant awarded by the KU Leuven Research Council (grant # 3H150305, budget: €1,271,200)