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Dataset . 2020
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Dataset . 2020
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ZENODO
Dataset . 2021
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Data sources: Datacite
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ZENODO
Dataset . 2021
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ZENODO
Dataset . 2019
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RUEG Corpus

Authors: Wiese, Heike; Alexiadou, Artemis; Allen, Shanley; Bunk, Oliver; Gagarina, Natalia; Iefremenko, Kateryna; Jahns, Esther; +14 Authors
Abstract

The Research Unit Emerging Grammars (RUEG) investigates the linguistic systems and linguistic resources of bilingual speakers from families with an immigrant history, “heritage speakers”, in both of their languages across different language pairs, registers, and age groups. We investigate speakers of Russian, Turkish, and Greek as heritage languages in Germany and the U.S., in addition to German as a heritage language in the U.S., as well as monolingual controls for majority and heritage languages. We study noncanonical phenomena as indicators of new grammatical options in bilingual systems. All projects contribute to three “Joint Ventures” targeting (1) the development of new dialects vs. incomplete acquisition or erosion (“Language Change Hypothesis”), (2) the relevance of internal vs. external grammatical interfaces (“Interface Hypothesis”), and (3) the distinction of contact-induced change vs. language-internal developments and variation (“Internal Dynamics Hypothesis”). As a result of our collaborative research, we expect new insights into the special dynamics of language variation, language change and linguistic repertoires in contact situations and the modelling of noncanonical structures in the grammatical system, and new impulses for the investigation of heritage speakers and of speakers’ resources. The projects are supported by two Mercator Fellows: Shana Poplack, University of Ottawa Maria Polinsky, University of Maryland The Research Unit is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number: 39482131. You can search this data online in ANNIS: https://korpling.german.hu-berlin.de/annis3/#c=rueg

Keywords

heritage language, linguistics, corpus, bilingualism

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visibility
download
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
5
Top 10%
Average
Top 10%
296
440