| Corpus creator(s): | Diana Forker and Nils Norman Schiborr |
| Archive: | TLA TLA |
| Annotation files license: |  |
| Audio files license: | |
| Translation: | Russian/English |
The Sanzhi Dargwa DoReCo dataset was compiled by Diana Forker and Nils Norman Schiborr based on Data gathered by Diana Forker between 2011 and 2013 and further processed by the DoReCo team (in particular Indira Hajnács, Stephan Lünser, Ludger Paschen, and Matthew Stave) between 2019 and 2022. The files that the Sanzhi Dargwa DoReCo dataset are based on are part of a larger collection of Nils Norman Schiborr and Diana Forker's Sanzhi Dargwa data that is archived at TLA (https://hdl.handle.net/1839/00-0000-0000-000D-B694-5). The files with a "mc_" prefix are based on Diana Forker and Nils Norman Schiborr's Sanzhi Dargwa Multi-CAST collection (https://multicast.aspra.uni-bamberg.de/#sanzhi), and these are additionally annotated with the GRAID (Grammatical Relations and Animacy in Discourse) and RefIND (Referent Indexing in Natural Language Discourse) annotation schemes (see https://multicast.aspra.uni-bamberg.de).
A set of files with further information on the Sanzhi Dargwa DoReCo dataset, including metadata and PIDs is automatically included in each bulk download of files from this dataset.
The Sanzhi Dargwa DoReCo dataset should be cited as follows:
Forker, Diana and Nils Norman Schiborr. 2022. Sanzhi Dargwa DoReCo dataset. In Seifart, Frank, Ludger Paschen and Matthew Stave (eds.). Language Documentation Reference Corpus (DoReCo) 1.2. Berlin & Lyon: Leibniz-Zentrum Allgemeine Sprachwissenschaft & laboratoire Dynamique Du Langage (UMR5596, CNRS & Université Lyon 2). https://doreco.huma-num.fr/languages/sanz1248 (Accessed on 27/07/2024). DOI:10.34847/nkl.81934177
Please note that when citing this dataset, or any number of DoReCo datasets, it is NOT sufficient to refer to DoReCo as a whole, but the full citation for each individual dataset must be provided, including the name(s) of the creator(s) of each data set.
| Name | Speaker(s) Age(s) | Speaker(s) Gender(s) | Genre | Gloss | Word tokens |
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| Name | Speaker(s) Age(s) | Speaker(s) Gender(s) | Genre | Gloss | Word tokens |
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