Tracking grammatical change: a long-term survey of German


References

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Abstract

This poster presents a long-term survey of grammatical change in Standard German, currently at an advanced planning stage. Most studies on language change use either corpora for real time change or surveys for apparent time change. The real-time studies working with elicited data usually restrict themselves to two time periods, in many cases by collecting new data from participants of a study that was published several decades earlier (cf. e.g. Bausch 2000; Bülow et al. 2020; Klein 2023; Rein 2020). In contrast, we plan to collect real time data going forward over an extended period of time (at least 50 years). The research method enables us to link production data on possibly rare grammatical phenomena with high-quality social data on individual speakers, making it possible to pinpoint the dissemination of new variants. We will address advantages and challenges of the method and give insights into possible morphological and syntactic phenomena, the potential influencing factors and implications for language change.

We will also present findings from a pilot study conducted in 2023/24, using the phenomenon of case selection of secondary prepositions in German (as in 1a and 1b; c.f. Di Meola 2009; Vieregge 2018) to focus on methodology and social data.

(1) a. Wir wollen entlang diesem Fluss joggen.
1PL want.1PL along DEM.SG.DAT river.SG.DAT jog.INF
b. Wir wollen entlang dieses Flusses joggen.
1PL want.1PL along DEM.SG.GEN river.SG.GEN jog.INF
‘We want to jog along this river.’

One methodological goal of the pilot study is to test and compare results from three different types of tasks (a gap fill task, an alternative forced choice task and an acceptability task with a likert scale) in both formal and informal contexts. As the task type may influence the results (c.f. Fleischer et al. 2012), this is highly relevant for the construction of the main survey. We also have collected extensive social data, in order to decide which way to measure e.g. level of education is the most promising when investigating morphological and syntactic change.