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dc.contributor.authorMostovaia, Irina
dc.date.accessioned2025-03-07T14:46:24Z
dc.date.available2025-03-07T14:46:24Z
dc.date.issued2021
dc.date.submitted2022-01-11T08:51:11Z
dc.identifierONIX_20220111_9783110681710_28
dc.identifierOCN: 1325879022
dc.identifier2198-8676
dc.identifierhttps://library.oapen.org/handle/20.500.12657/52259
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/154968
dc.description.abstractThis empirical study examines self-initiated and other-initiated self-repairs in German and Russian SMS communication by applying methods from conversation analysis and interactional linguistics. It describes the sequential organization and functions of self-repairs in the analyzed data from the two languages and contrasts them with each other.
dc.languageGerman
dc.relation.ispartofseriesEmpirische Linguistik / Empirical Linguistics
dc.rightsopen access
dc.subject.classificationthema EDItEUR::C Language and Linguistics
dc.subject.classificationthema EDItEUR::C Language and Linguistics::CF Linguistics
dc.subject.classificationthema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics
dc.subject.otherSelf-repair
dc.subject.otherSMS
dc.subject.otherWhatsApp
dc.subject.otherGerman
dc.subject.otherRussian
dc.titleSelbstreparaturen in der schriftlichen Interaktion
dc.title.alternativeEine kontrastive Analyse deutscher und russischer Kurznachrichtenkommunikation
dc.typebook
oapen.identifier.doi10.1515/9783110681710
oapen.relation.isPublishedByaf2fbfcc-ee87-43d8-a035-afb9d7eef6a5
oapen.relation.isFundedByfe0eef3c-1510-4bfe-9863-3fa8dcd95447
oapen.relation.isbn9783110681710
oapen.relation.isbn9783110681611
oapen.relation.isbn9783110681772
oapen.imprintDe Gruyter
oapen.pages421
oapen.place.publicationBerlin/Boston
oapen.grant.number[grantnumber unknown]
dc.relationisFundedByfe0eef3c-1510-4bfe-9863-3fa8dcd95447
dc.seriesnumber16
dc.abstractotherlanguageThis empirical study examines self-initiated and other-initiated self-repairs in German and Russian SMS communication by applying methods from conversation analysis and interactional linguistics. It describes the sequential organization and functions of self-repairs in the analyzed data from the two languages and contrasts them with each other.


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