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Tapping into German Adjective Variation: A Variationist Sociolinguistic Approach

Published online by Cambridge University Press:  08 February 2022

James M. Stratton*
Affiliation:
Purdue University
*
Department of Linguistics, Purdue University, 640 Oval Drive, West Lafayette, West Lafayette, IN, 47906, USA [jamesmstratton92@gmail.com]
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Abstract

Following the Labovian paradigm, the present study uses variationist quantitative methods to examine the linguistic and social factors influencing adjective choices in German. By focusing on adjectives of positive evaluation (such as cool ‘cool’, toll/geil ‘great’), an analysis of over 3,000 tokens reveals that the choice of using one adjective over a competing counterpart is structured systematically. This choice is heavily constrained by the social factor age, with gender also influencing variation to varying degrees. The syntactic position of the adjective also conditions use, with some adjectives favoring predicative position and others favoring attributive or stand-alone position. Comparisons across apparent time, as well as with previous research, indicate that the semantic field of positive evaluation is a perpetually changing locus of variation. By applying variationist methods to German data, the present study illustrates how German lexis can index social meaning, paving the way for future research on German lexical variation. More broadly speaking, this study also contributes to ongoing variationist sociolinguistic research on German language variation and change.*

Information

Type
Articles
Copyright
© Society for Germanic Linguistics 2022
Figure 0

Table 1. The distribution of adjectives of positive evaluation.

Figure 1

Figure 1. The distribution of cool, toll, and geil by age.16

Figure 2

Figure 2. The distribution of prima, super, krass, and klasse by age.

Figure 3

Figure 3. The distribution of adjectives of positive evaluation by gender.

Figure 4

Table 2. The distribution of variants by region.

Figure 5

Table 3. The distribution of variants by register.

Figure 6

Figure 4. Estimated marginal means for the use of cool by age.

Figure 7

Table 4. Logistic regression analysis of cool.

Figure 8

Table 5. Logistic regression analysis of toll.

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Figure 5. Estimated marginal means for the use of toll by age.

Figure 10

Figure 6. Estimated marginal means for the use of intensifier + gut by age.

Figure 11

Table 6. Logistic regression analysis of intensifier + gut.

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Table 7. Logistic regression analysis of geil.

Figure 13

Figure 7. Estimated marginal means for the use of geil by position.