Added Alternatives in Spoken Interaction

A Corpus Study on German Auch

Bibliographic Data

ID5900656
AuthorsLaura Reimer (0000-0001-8074-8526, University of Münster, corresponding author), Christine Dimroth (0000-0003-0483-7839, University of Münster)
Year2021
Volume6
Issue4
Pages169
Publication date2021-10-15
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguages (JOURNAL)
Journal identifiersISSN: 2226-471X • E-ISSN: 2226-471X
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/languages6040169
OpenAlexW3206342061
LanguageEN
Citations received3
References cited25

Particles such as German auch ('also') establish an additive relation between expressions in their scope (added constituent, AC) and context alternatives against the background of shared information (common denominator). In spoken interaction, however, explicit alternatives are not necessarily present and expressions can be construed as alternatives against different variants of a common denominator. It is the aim of the present paper to investigate to what extent the presence of alternatives influences the construction of utterances containing an additive particle. This is particularly relevant for German, where speakers can choose between an unstressed and stressed version of auch. We ask whether properties of the alternatives and their common denominators influence the choice to use stressed or unstressed auch. In a corpus study on spoken language, we classified the versions of auch, the particles AC, the alternatives in the preceding context and their common denominator. The results show that the speaker's choice is influenced by the relation of the utterance to context alternatives. Specifically, the degree of explicitness of alternatives, the number of alternatives, and the degree of abstractness of the common denominator influence the continuation of the discourse, measured by the preference for one of the two variants of the particle auch

Context (archaeology · Continuation · Degree (music · German · Linguistics · Natural language processing · Preference · Relation (database · Scope (computer science · Statistics · Utterance · Variation (astronomy · Computer Science · History · Language, Discourse, Communication Strategies · Linguistic research and analysis · Linguistics, Language Diversity, and Identity · Mathematics · Psychology · Artificial Intelligence

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