Linguistic data collection typically involves conducting interviews with participants in close proximity. The safety precautions related to the COVID-19 pandemic brought such data collection to an abrupt halt: Social distancing forced linguistic fieldwork into involuntary hibernation in many parts of the world. Such hardship, however, can inspire innovation. In this contribution, we present an approach that – we believe – enables a reliable switch from in-person, face-to-face interviews to virtual, online data collection. In this approach, participants remain at home and navigate a smartphone application, enabling high-quality audio recordings and multisensory presentation of linguistic material, while they are being supervised via videoconferencing (Zoom 2020https://zoom.us/ (accessed 11 August 2020)). The smartphone app and the infrastructure presented are open source, accessible, and adaptable to researchers’ specific needs. To explore whether participants’ experiences of in-person data collection are different from participation in a virtual setting, we conducted a study with 36 participants. Overall, findings revealed a substantial degree of overlap in interview experience, setting a methodological baseline for future work. We end this contribution by discussing the benefits and pitfalls of this new approach.
This paper investigates the occurrence of inflected predicative adjectives, an optional yet distinguishing feature of German dialects spoken in southern Switzerland. We provide an in-depth analysis of the patterns of change of this morphosyntactic marker with a particular focus on extralinguistic factors. Historical records from 1950 were compared to contemporary data collected from 192 speakers across 49 localities in 2020–21. Our results corroborate previous reports indicating a substantial, real-time decline in inflected forms. Logistic mixed-effects modeling suggests that the inflection of predicative adjectives occurs more frequently among speakers who report tight social networks, have a strong local dialect identity, and regularly use one or more Romance languages. These findings support the claim that tight social networks and local dialect identity construction may lead to the preservation of conservative grammatical forms. Additionally, the effect of Romance languages highlights the role of transfer phenomena induced by language contact.
Many language change studies aim for a partial revisitation, i.e., selecting survey sites from previous dialect studies. The central issue of survey site reduction, however, has often been addressed only qualitatively. Cluster analysis offers an innovative means of identifying the most representative survey sites among a set of original survey sites. In this paper, we present a general methodology for finding representative sites for an intended study, potentially applicable to any collection of data about dialects or linguistic variation. We elaborate the quantitative steps of the proposed methodology in the context of the “Linguistic Atlas of Japan” (LAJ). Next, we demonstrate the full application of the methodology on the “Linguistic Atlas of German-speaking Switzerland” (Germ.: “Sprachatlas der Deutschen Schweiz”—SDS), with the explicit aim of selecting survey sites corresponding to the aims of the current project “Swiss German Dialects Across Time and Space” (SDATS), which revisits SDS 70 years later. We find that depending on the circumstances and requirements of a study, the proposed methodology, introducing cluster analysis into the survey site reduction process, allows for a greater objectivity in comparison to traditional approaches. We suggest, however, that the suitability of any set of candidate survey sites resulting from the proposed methodology be rigorously revised by experts due to potential incongruences, such as the overlap of objectives and variables across the original and intended studies and ongoing dialect change.
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