Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch

Diego Frassinelli, Gabriella Lapesa, Reem Alatrash, Dominik Schlechtweg, Sabine Schulte im Walde


Abstract
Kiezdeutsch is a variety of German predominantly spoken by teenagers from multi-ethnic urban neighborhoods in casual conversations with their peers. In recent years, the popularity of Kiezdeutsch has increased among young people, independently of their socio-economic origin, and has spread in social media, too. While previous studies have extensively investigated this language variety from a linguistic and qualitative perspective, not much has been done from a quantitative point of view. We perform the first large-scale data-driven analysis of the lexical and morpho-syntactic properties of Kiezdeutsch in comparison with standard German. At the level of results, we confirm predictions of previous qualitative analyses and integrate them with further observations on specific linguistic phenomena such as slang and self-centered speaker attitude. At the methodological level, we provide logistic regression as a framework to perform bottom-up feature selection in order to quantify differences across language varieties.
Anthology ID:
2021.vardial-1.3
Volume:
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects
Month:
April
Year:
2021
Address:
Kiyv, Ukraine
Venue:
VarDial
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Publisher:
Association for Computational Linguistics
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Pages:
21–27
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URL:
https://aclanthology.org/2021.vardial-1.3
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Cite (ACL):
Diego Frassinelli, Gabriella Lapesa, Reem Alatrash, Dominik Schlechtweg, and Sabine Schulte im Walde. 2021. Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch. In Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, pages 21–27, Kiyv, Ukraine. Association for Computational Linguistics.
Cite (Informal):
Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch (Frassinelli et al., VarDial 2021)
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https://aclanthology.org/2021.vardial-1.3.pdf