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Glossa Psycholinguistics
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://doi.org/10.31234/osf.i...
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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No genericity in sight: An exploration of the semantics of masculine generics in German

Authors: Dominic Schmitz; Viktoria Schneider; Janina Esser;

No genericity in sight: An exploration of the semantics of masculine generics in German

Abstract

Findings of previous behavioural studies suggest that the semantic nature of what is known as the ‘masculine generic’ in Modern Standard German is indeed not generic but biased towards a masculine reading. Such findings are the cause of debates within and outside linguistic research, as they run counter to the grammarian assumption that the masculine generic form is gender-neutral. The present paper aims to explore the semantics of masculine generics, relating them to  those  of  masculine  and  feminine  explicit  counterparts.  To  achieve  this  aim,  an  approach  novel  to  this  area  of  linguistic  research  is  made  use  of:  discriminative  learning.  Analysing  semantic  vectors  obtained  via  naive  discriminative  learning,  semantic  measures  calculated  via  linear  discriminative  learning,  and  taking  into  account  the  stereotypicality  of  the  words  under investigation, it is found that masculine generics are semantically much more similar to masculine explicits than to feminine explicits. The results presented in this paper thus support the notion of a masculine bias in masculine generics. Further, new insights into the semantic representations of masculine generics are provided and it is shown that stereotypicality does not modulate the masculine bias.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold