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Specification for the Harmonization of Sign Language Annotations ...
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Specification for the Harmonization of Sign Language Annotations ...
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Vocabulary Scaffolding Features and Young Readers’ Comprehension of Digital Text: Insights from a Big Observational Dataset ...
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INEL Kamas Corpus ...
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Abstract:
Corpus Citation Gusev, Valentin; Klooster, Tiina; Wagner-Nagy, Beáta. 2019. "INEL Kamas Corpus." Version 1.0. Publication date 2019-12-15. http://hdl.handle.net/11022/0000-0007-DA6E-9. Archived in Hamburger Zentrum für Sprachkorpora. In: Wagner-Nagy, Beáta; Arkhipov, Alexandre; Ferger, Anne; Jettka, Daniel; Lehmberg, Timm (eds.). The INEL corpora of indigenous Northern Eurasian languages. Corpus Description The INEL Kamas corpus has been created within the long-term INEL project ("Grammatical Descriptions, Corpora and Language Technology for Indigenous Northern Eurasian Languages"), 2016–2033. The corpus makes possible typologically aware corpus-based grammatical research on the Kamas language and expands the documentation of the lesser described indigenous languages of Northern Eurasia. The INEL Kamas corpus consists of two parts: folklore texts collected by Kai Donner in 1912–1914, and transcribed audio recordings of the last speaker of Kamas, Klavdiya Plotnikova, made between 1964 and 1970. Each text in ...
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Keyword:
annotated; borrowings; code-switching; endangered language; English translation; folklore; German translation; indigenous language; INEL; information status; L1 data; language contact; language documentation; monologue; morphological glossing; narrative; Russian translation; semantic roles; syntactic functions
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URL: https://dx.doi.org/10.25592/uhhfdm.9740 https://www.fdr.uni-hamburg.de/record/9740
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The effects of reading bilingual books on vocabulary learning
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Zhang, Zhiying; Webb, Stuart. - : University of Hawaii National Foreign Language Resource Center, 2019. : Center for Language & Technology, 2019
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Vocabulary learning and retention through multimedia glossing
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Ramezanali, Nasrin; Faez, Farahnaz. - : University of Hawaii National Foreign Language Resource Center, 2019. : University of Texas at Austin Center for Open Educational Resources and Language Learning, 2019
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Crowdsourcing lexical semantic judgements from bilingual dictionary users
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