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Leibniz-ZAS corpus of MAIN ...
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Leibniz-ZAS corpus of MAIN ...
Abstract: The presented dataset is part of the narrative corpus collected at Leibniz-Centre General Linguistics (Leibniz-ZAS). It contains transcriptions of oral narratives elicited with the Multilingual Assessment Instrument for Narratives (MAIN; read more here), developed as part of the LITMUS battery of tests in the framework of COST Action IS0804 Language Impairment in a Multilingual Society: Linguistic Patterns and the Road to Assessment . Narratives were elicited in the Russian, Turkish and German languages in the telling elicitation mode using two MAIN picture stories, Baby Birds and Baby Goats. The data were collected during two large-scale longitudinal studies conducted at ZAS in the framework of the Berlin Interdisciplinary Network for Multilingualism (BIVEM) and Interdisciplinary Research Alliance (IFV) projects (more information about the studies). The participants of the studies were Russian-German and Turkish-German bilingual children from different areas of Berlin. Their language development was closely ... : {"references": ["Gagarina, Natalia, Klop, Daleen, Kunnari, Sari, Tantele, Koula, V\u00e4limaa, Taina, Bal\u010di\u016bnien\u0117, Ingrida, Bohnacker, Ute & Walters, Joel. 2012. MAIN: Multilingual Assessment Instrument for Narratives. ZAS Papers in Linguistics, 56. Berlin: ZAS.", "Narrative abilities in bilingual children. Applied Psycholinguistics, 37, special issue. 2016", "Bohnacker, Ute & Gagarina, Natalia (Eds.). 2020. Developing Narrative Comprehension: Multilingual Assessment Instrument for Narratives. [Studies in Bilingualism, 61]. Amsterdam/Philadelphia: John Benjamins"]} ...
Keyword: child bilingualism; corpus; German; heritage language; linguistics; narrative development; Russian; Turkish
URL: https://dx.doi.org/10.5281/zenodo.4724969
https://zenodo.org/record/4724969
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RUEG Corpus ...
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RUEG Corpus ...
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A Four-Year Longitudinal Comparative Study on the Lexicon Development of Russian and Turkish Heritage Speakers in Germany
Gagarina, Natalia; Czapka, Sophia; Topaj, Nathalie. - : Humboldt-Universität zu Berlin, 2021
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RUEG Corpus ...
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RUEG Corpus ...
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